Abstract is missing.
- A partial model of cortical memory based on disinhibitionDavid D. Vogel. 1-5 [doi]
- A computational model of synaptic metaplasticityJavier Ropero Peláez, Marcelo Godoy Simões. 6-11 [doi]
- Generating smooth context-dependent neural representationsSimona Doboli, Ali A. Minai, Phillip J. Best. 12-15 [doi]
- Biophysical basis of neural memoryA. N. Radchenko. 16-20 [doi]
- Cerebellar learning: a possible phase switch in evolutionWitali L. Dunin-Barkowski, Donald C. Wunsch. 21-26 [doi]
- A hybrid model for rodent spatial learning and localizationRushi Bhatt, Karthik Balakrishnan, Vasant Konavar. 27-32 [doi]
- A numerical exploration of a stochastic model of human list learningK. F. Wilson, C. F. Osborne. 33-37 [doi]
- Learning to generate temporal sequences by models of frontal lobesNeill R. Taylor, John G. Taylor. 38-41 [doi]
- Oscillatory model of the hippocampal memoryRoman Borisyuk, Frank Hoppensteadt. 42-45 [doi]
- A mathematical analysis of adaptive synapsesJohn G. Taylor. 46-51 [doi]
- A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfactionR. Kozma, Walter J. Freeman. 52-57 [doi]
- Computational model of the entorhinal-hippocampal region derived from a single principleAndrás Lörincz, György Buzsáki. 58-63 [doi]
- Generative network explains category formation in Alzheimer patientsPeter Aszalos, Szabolcs Kéri, György Kovács, György Benedek, Zolton Janka, András Lörincz. 64-68 [doi]
- Probing the architecture of the brain in experimentation with afterimagesSimon Y. Berkovich. 69-73 [doi]
- Brain's internal mechanisms - a new paradigmAsim Roy. 74-79 [doi]
- A connectionist model of motivationThomas E. Portegys. 80-85 [doi]
- Steps toward development of an integrated neurobiological model of cocaine misuse effectsFrank R. Funderburk, Karen I. Bolla. 86-90 [doi]
- Neural networks for consciousness: the central representationJohn G. Taylor. 91-96 [doi]
- Rate of synchrony in locally coupled chains of relaxation oscillatorsShannon R. Campbell. 97-102 [doi]
- A neural network model of personalityRobert Homer. 103-108 [doi]
- Modeling higher level processing functions inherent to the human brainIren Valova, Yukio Kosugi. 109-112 [doi]
- Coordination dynamics in large-scale cortical networksSteven L. Bressler, Mingzhou Ding. 113-116 [doi]
- Artificial learningCarlos Alberto Rossi, Ladislao Bodnar. 117-120 [doi]
- A model of lateralization and asymmetries in cortical mapsSvetlana Levitan, Ioana Stoica, James A. Reggia. 121-124 [doi]
- Pattern completion through thalamo-cortical interactionJavier Rpero Peláez, Marcelo Godoy Simões. 125-130 [doi]
- Modeling nonsynaptic communication between neurons in the lamina ganglionaris of Musca domesticaKaren G. Haines, John A. Moya, Thomas P. Caudell. 131-136 [doi]
- A model of saccadic generation based on the neurobiology of the superior colliculusGuy D. Chun, Thomas P. Caudell. 137-141 [doi]
- Design of a low-power, portable sensor system using embedded neural networks and hardware preprocessingThaddeus Roppel, Denise M. Wilson, Kevin Dunman, Vlatko Becanovic, Mary Lou Padgett. 142-145 [doi]
- Decoding of information from distributed motor mapsJeremy B. Badler, Edward L. Keller. 146-151 [doi]
- Peculiarities of frequency-phase filtering of signals at different stages of information processing in rat barrel cortexAlexander G. Sukhov, Tattiana G. Bezdudnaya. 152-155 [doi]
- Local nonuniformity of the visual perception in the peripheral vision fieldDmitry Shaposhnikov, Lubov N. Podladchikova. 156-159 [doi]
- Analysis of spatial nonlinear responses in cortical complex cellsK. Sakai, S. Tanaka. 160-163 [doi]
- Knowledge matching model with dynamic weights based on the primary visual cortexYu Bo, LiMing Zhang. 164-169 [doi]
- Computational explanations for color transparencyShigeki Nakauchi, Shiro Usui, Jussi Parkkinen, Pertti Silfsten. 170-173 [doi]
- Single-pigment optical mechanism for color opponency in a photoreceptor cellVitali V. Gavrik. 174-177 [doi]
- Cultures of neurons on micro-electrode array and control of their axon growth in hybrid retinal implantY. Ito, T. Yagi, H. Kanda, S. Tanaka, M. Watanabe, Y. Uchikawa. 178-181 [doi]
- Relating information capacity to a biophysical model for blowfly retinaPamela Abshire, Andreas G. Andreou. 182-187 [doi]
- Diffusive Hebbian model for orientation map formationChota M. Markan, Basabi Bhaumik. 188-191 [doi]
- Psychophysical test of a tunable retina encoder for retina implantsMichael Becker 0008, Rolf Eckmiller, Ralph Hünermann. 192-195 [doi]
- Realization of geometric illusions using artificial visual model based on acute-angled expansion among crossing linesTakehiko Ogawa, Takashi Minohara, Hajime Kanada, Yukio Kosugi. 196-199 [doi]
- Solving the binding problem with feature integration theoryHiroshi Kume, Yuko Osana, Masafumi Hagiwara. 200-205 [doi]
- The hippocampus and the brain: a neural network modelNestor A. Schmajuk. 206-209 [doi]
- Simulated callosal lesions in a neural model of left and right hemispheric regionsMark Glezer, Yuri Shkuro, James A. Reggia. 210-214 [doi]
- Lesion effects in a bihemispheric letter-identification modelNatalia Shevtsova, James A. Reggia. 215-218 [doi]
- Climbing fibre Purkinje cell twins are foundWitali L. Dunin-Barkowski, Sergey N. Markin, Lubov N. Podladchikova, Donald C. Wunsch. 219-222 [doi]
- Acquired sensorimotor coordinated signal transformation in a bi-directional neural network modelHiroshi Wakuya, Katsunori Shida. 223-228 [doi]
- The inverse identification of neuromuscular system by using neural networks in elbow function self-correcting systemYong Li, Ning Lan, Fusheng Yang. 229-232 [doi]
- Chaotic phenomena of an active axonKazutaka Someya, Atsushi Fujita, Yoshifumi Sekine, Kawyuki Aihara. 233-238 [doi]
- Comparison of fractal characteristics of the electroencephalogram at schoolchildren 10-12 years old in norm and with difficulties in learningI. E. Kanounikov, E. V. Antonova. 239-242 [doi]
- Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activityI. E. Kanounikov, E. V. Antonova, B. V. Kiselev, D. R. Belov. 243-246 [doi]
- Spatial knowledge transfer between models of hippocampus and associative cortexNicolas P. Rougier, Frédéric Alexandre. 247-251 [doi]
- Modeling prefrontal functions for robot navigationHervé Frezza-Buet, Frédéric Alexandre. 252-257 [doi]
- The animal tests of chaotic signal therapy for epilepsy (CSTE)Shenchu Xu, Zhenxiang Chen, Jinshui Zhong, Boxi Wu, Guoqiang Gao, Hang Xiao, Jianping Wu, Yun Shi, Jian Chen, Xiaofan Yang. 258-261 [doi]
- Control chaos in nonautonomous cellular neural networks using impulsive control methodsZhenya He, Yifeng Zhang, Luxi Yang, Yuhui Shi. 262-267 [doi]
- Synchronization of the neural response to noisy periodic synaptic inputAnthony N. Burkitt, Graeme M. Clark. 268-273 [doi]
- The separation of speech from interfering sounds: an oscillatory correlation approachGuy J. Brown, DeLiang Wang. 274-279 [doi]
- Integrating spatial and temporal mechanisms in auditory neural fiber's computational modelXugang Lu, Daowen Chen. 280-283 [doi]
- Auditory model based speech feature extraction and its application to speaker identificationBing Xiang, Xihong Wu, Zhimin Liu, Huisheng Chi. 284-287 [doi]
- A self-organizing two-stream model of language comprehensionMichiro Negishi, Daniel Bullock, Michael Cohen. 288-292 [doi]
- Predicting human cortical connectivity for language areas using the Conel databaseRyuta Fukuda, Junko Hara, William Rodman Shankle, Toshio Inui, Masaru Tomita. 293-295 [doi]
- Synaptic depression may explain many of the temporal response properties observed in primary auditory cortex: a computational investigationSusan L. Denham, Michael J. Denham. 296-300 [doi]
- A recurrent network model for range processing of the mustached batGang Wang, Miki Haseyama, Nobuo Suga. 301-304 [doi]
- Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputsAnthony N. Burkitt. 305-308 [doi]
- Overview of electronic nose algorithmsPaul E. Keller. 309-312 [doi]
- Olfactory signal classification based on evolutionary computationDumitru Dumitrescu, Beatrice Lazzerini, Francesco Marcelloni. 313-316 [doi]
- Odor detection using pulse coupled neural networksGeza Szekely, Mary Lou Padgett, Gerry Dozier, T. A. Roppel. 317-321 [doi]
- Signal separation processor based on second-order statistic algorithmsTertulien Ndjountche, Rolf Unbehauen, Fa-Long Luo. 322-327 [doi]
- Adaptive higher-order feedforward neural networksShuxiang Xu, Ming Zhang. 328-332 [doi]
- Neuron-adaptive higher order neural network group modelsMing Zhang, Shuxiang Xu, Bo Lu. 333-336 [doi]
- "Optimal" neural representation of higher order for quadratic combinatorial optimizationSatoshi Matsuda. 337-340 [doi]
- Dynamics of large random recurrent neural networks: oscillations of 2-population modelOlivier Moynot, Manuel Samuelides. 341-344 [doi]
- Modeling a compression plant using recurrent neural networksRessom W. Habtom. 345-348 [doi]
- Multi-step-ahead prediction using dynamic recurrent neural networksAlexander G. Parlos, Omar T. Rais, Amir F. Atiya. 349-352 [doi]
- A simplex optimization approach for recurrent neural network training and for learning time-dependent trajectory patternsYee Chin Wong, Malur K. Sundareshan. 353-358 [doi]
- Training recurrent neural networks with noisy input measurementsDevasis Bassu, James T. Lo, Justin Nave. 359-363 [doi]
- Mathematical justification of recurrent neural networks with long and short-term memoriesJames T. Lo, Devasis Bassu. 364-369 [doi]
- Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networksShuxiang Xu, Ming Zhang. 370-374 [doi]
- Estimation with two hidden layer neural netsGerald H. L. Cheang, Andrew R. Barron. 375-378 [doi]
- Synthesis of multilayer neural networks architecture (for the case of cascaded NNs)E. D. Avedyan, G. V. Barkan, I. K. Levin. 379-382 [doi]
- Application of SVM to Lyapunov function approximationDanil V. Prokhorov, Lee A. Feldkamp. 383-387 [doi]
- Piecewise linear networks (PLN) for function approximationWolfgang Eppler, Hans N. Beck. 388-391 [doi]
- Prediction of nonlinear dynamical system output with multilayer perceptron and radial basis function neural networksGuy Ferland, Tet Yeap. 392-397 [doi]
- Time-delay polynomial networks and quality of approximationIrwin W. Sandberg. 398-403 [doi]
- Hamiltonian vector field for the Lorenz invariant setAndrzej Lozowski, Rafal Komendarczyk, Jacek M. Zurada. 404-408 [doi]
- Learning functions and their derivatives using Taylor series and neural networksThomas Hanselmann, Anthony Zaknich, Yianni Attikiouzel. 409-412 [doi]
- A new EM algorithm using Tikhonov regularizationTakamasa Koshizen, Yves Rosseel, Yoshihiro Tonegawa. 413-418 [doi]
- Approximation of a function and its derivatives in feedforward neural networksE. Basson, Andries P. Engelbrecht. 419-421 [doi]
- Increase the number of stable equilibrium points in a Hopfield-type neural networkEvgeny E. Dudnikov. 422-426 [doi]
- New approach to the storage capacity of neural networks using the minimum distance between input patternsHiroki Suyari, Ikuo Matsuba. 427-431 [doi]
- Extending the power and capacity of constraint satisfaction networksXinchuan Zeng, Tony R. Martinez. 432-437 [doi]
- Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain projectHugo de Garis, Norberto Eiji Nawa, Michael Hough, Michael Korkin. 438-443 [doi]
- Pattern coding based on firing times in a network of spiking neuronsMasahiko Yoshioka, Masatoshi Shiino. 444-449 [doi]
- The random subspace coarse coding scheme for real-valued vectorsErnst M. Kussul, Dmitri A. Rachkovskij, Donald C. Wunsch. 450-455 [doi]
- Enhanced artificial neural networks using complex numbersHoward E. Michel, Abdul Ahad S. Awwal. 456-461 [doi]
- Implementing competitive learning in a quantum systemDan Ventura. 462-466 [doi]
- On model selection in SLT and linear basis neural networksArturo Hernández Aguirre, Cris Koutsougeras, Bill P. Buckles. 467-472 [doi]
- The generalized eigen-decomposition approach to blind source problemsAna Maria Tomé. 473-476 [doi]
- A learning-theory-based training algorithm for variable-structure dynamic neural modelingKayvan Najarian, Guy A. Dumont, Michael S. Davies. 477-482 [doi]
- Symbolized particles store type neuron model and its applicationKazunori Miyamoto, Hirohisa Aman, Torao Yanaru, Masahiro Nagamatsu. 483-487 [doi]
- Fourier neural networksAdrian Silvescu. 488-491 [doi]
- Colimits in memory: category theory and neural systemsMichael J. Healy. 492-496 [doi]
- A boundary-pair representation for perception modelingXiuwen Liu, DeLiang Wang. 497-501 [doi]
- On logical semantics of hybrid symbolic-neural networks for commonsense reasoningYan Zhang. 502-505 [doi]
- Exploration of mean-field approximation for feedforward networksToshiyuki Tanaka. 506-509 [doi]
- 2D order of self-organizing Kristal mapsAmulfo P. Azcarraga, Marlene Rose Lim. 510-513 [doi]
- Dual coding in a network of spiking neurons: aperiodic spikes and stable firing ratesOsamu Araki, Kapcyuki Aihara. 514-518 [doi]
- Some new results on the capabilities of integer weights neural networks in classification problemsSorin Draghici. 519-524 [doi]
- Oscillator neural network model with distributed native frequenciesMichikio Yamana, Masatoshi Shiino, Masahiko Yoshioka. 525-528 [doi]
- An instantaneous topological mapping model for correlated stimuliJán Jockusch, Helge J. Ritter. 529-534 [doi]
- Parameter selection and state dominance in hidden Markov models of neuronal activityNeil M. Branston, Wael El-Deredy. 535-539 [doi]
- Bayesian ying-yang supervised learning, modular models, and three layer netsLei Xu. 540-545 [doi]
- BYY data smoothing based learning on a small size of samplesLei Xu. 546-551 [doi]
- Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulationLei Xu. 552-557 [doi]
- Maximum/minimum detection by a module-based neural network with redundant architectureKazuyoshi Tsutsumi, Kazuo Nakajima. 558-561 [doi]
- A method for investigating the nonlinear dynamics of the human brain from analysis of functional MRI dataJohn D. Carew, Amir Assadi, Hamid Edhbalnia. 562-567 [doi]
- Theoretical analysis of quantized Hopfield network for integer programmingSatoshi Matsuda. 568-571 [doi]
- Validation of fusion through linear programmingEric Bax. 572-575 [doi]
- Nonlinear factorization in the hippocampal neural structureAnton M. Sirota, Alexander A. Frolov, Dusan Húsek. 576-581 [doi]
- Primal neural networks for solving convex quadratic programsYoushen Xia, Jun Wang 0002. 582-587 [doi]
- A dual neural network solving quadratic programming problemsJun Wang, Youshen Xia. 588-593 [doi]
- Nonlinear programming with feedforward neural networksJaques Reifman, Earl E. Feldman. 594-598 [doi]
- Internal representation in networks of nonmonotonic processing unitsDavid B. McCaughan, David A. Medler, Michael R. W. Dawson. 599-604 [doi]
- Morphological perceptronsGerhard X. Ritter, Thad W. Beaver. 605-610 [doi]
- Uniform approximation of discrete-time nonlinear systemsMichael Ciraula, Irwin W. Sandberg. 611-616 [doi]
- New single neuron structure for solving nonlinear problemsRichard Labib. 617-620 [doi]
- Neighborhood induced stochastic resonanceRavi Kothari, Ming Dong, Dinesh K. Bhatia. 621-624 [doi]
- Factors controlling generalization ability of MLP networksShi Zhong, Vladimir Cherkassky. 625-630 [doi]
- Neural networks in non-Euclidean metric spacesWlodzislaw Duch, Rafal Adamczak. 631-636 [doi]
- Using neural networks as an aid for solving engineering problemsA. H. Sung, H. J. Li. 637-642 [doi]
- A zero order minimization algorithm using a neural networkSergei M. Obraztsov, Alexander L. Shimkevich. 643-645 [doi]
- An extended Hopfield model for combinatorial optimizationMichel Winter, Gérard Favier. 646-649 [doi]
- The robustness of relaxation rates in constraint satisfaction networksD. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez. 650-654 [doi]
- Neural networks in 2-D continuous timeS. A. Belbas. 655-658 [doi]
- What can memorization learning do?Akira Hirabayashi, Hidemitsu Ogawa. 659-662 [doi]
- The optimal value of self-connectionDmitry O. Gorodnichy. 663-668 [doi]
- Optimization of logical rules derived by neural proceduresWlodzislaw Duch, Rafal Adamczak, Krzysztof Grabczewski, Grzegorz Zal. 669-674 [doi]
- Solving a graph layout problem using strictly digital neural networks with virtual slack-neuronsKatsuhiko Murakami, Tohru Nakagawa. 675-679 [doi]
- Hysteresis neural networks for a combinatorial optimization problemKenya Jin'no. 680-683 [doi]
- Design and analysis of neural networks for systems optimizationIvan Nunes da Silva, Mário Eduardo Bordon, Andre N. de Souza. 684-689 [doi]
- Locally coupled chaotic oscillator network for scene segmentationZhae Liang, Nizam Omar, Elbert E. N. Macau. 690-694 [doi]
- Synchronized chaos in coupled neuromodules of different typesFrank Pasemann. 695-698 [doi]
- Self-trapping in an attractor neural network with nearest neighbor synapses mimics full connectivityRaymond Pavloski, Majid Karimi. 699-704 [doi]
- Relationship between fault tolerance, generalization and the Vapnik-Chervonenkis (VC) dimension of feedforward ANNsDhananjay S. Phatak. 705-709 [doi]
- Noise reduction of chaotic interspike intervals (ISI) of neuronsY. F. Gong, W. Ren, X. Z. Shi, S. J. Hu. 710-712 [doi]
- On the self-feedback controlled chaotic neural network and its application to N-Queen problemMasaya Ohta. 713-716 [doi]
- Integrate-and-fire model with periodic inputsHiroyuki Torikai, Toshimichi Saito. 717-720 [doi]
- Autonomous integrate-and-fire model with vibrationHidehiro Nakano, Toshimichi Saito. 721-724 [doi]
- A novel dynamical invariant measure addresses the stability of the chaotic KIII neural networkChristian Storm, Walter J. Freeman. 725-729 [doi]
- Chaos in neural networks with bistable dendrite membrane current-voltage relationAlgis Garliauskas. 730-735 [doi]
- Stochastic chaos versus deterministic chaos: a case for analog versus digital embodiment of devices for pattern recognitionWalter J. Freeman. 736-741 [doi]
- A self-organizing network system forming memory from nonstationary probability distributionsTaira Nakajima, Hiroyuki Takizawa, Hiroaki Kobayashi, Tadao Nakamura. 742-745 [doi]
- Knowledge processing system using chaotic associative memoryYuko Osana, Masafumi Hagiwara. 746-751 [doi]
- Chaotic associative memory for sequential patternsYuko Osana, Masafumi Hagiwara. 752-757 [doi]
- A new bidirectional associative memory based on distributed representationJiongtao Huang, Masafumi Hagiwara. 758-763 [doi]
- A combined multi-Winner multidirectional associative memoryJiongtao Huang, Masafumi Hagiwara. 764-769 [doi]
- Comparison between theory and simulation for the two-level decoupled Hamming associative memoryPaul Watta, Nobuhiko Ikeda, Metin Artiklar, Ambiga Subramanian, Mohamad H. Hassoun. 770-774 [doi]
- Enhancing the storage capacity of binary associative memoriesWinfried A. Fellenz, John G. Taylor. 775-780 [doi]
- Capacity of second-ordered bidirectional associative memory in the presence of noise bitsYutaka Kawabata, Yoshimasa Daido, Shimmi Hattori. 781-786 [doi]
- Determining field of visual attention in associative memoriesMasahiro Iwasaki, Tomonori Hashiyama, Shigeru Okuma. 787-790 [doi]
- An architecture for an adaptive associative memory system based on autonomous reactions between imagesYasuo Kinouchi, Masahiro Mizutani, Shoji Inabayashi. 791-794 [doi]
- Behavior of interactive neural networks as associative memoriesJorge A. Horas, Cristian P. Mankoc. 795-797 [doi]
- A learning method for synthesizing associative memory in neural networksYasuaki Kuroe, Kenshu Koashi, Naoki Hashimoto, Takehiro Mori. 798-803 [doi]
- Partitioned architectures for large scale data recoveryR. Sunderam. 804-807 [doi]
- Priority ordered architecture of neural networksShoujue Wang, Huaxiang Li, Xiangdong Chen, Yujian Li. 808-811 [doi]
- Boosting the performance of weightless neural networks by using a postprocessing transformation of the output scoresThomas Martini Jørgensen, Christian Linneberg. 812-816 [doi]
- Approximation of chaotic shapes with tree-structured neural networksPeter Andras. 817-820 [doi]
- Genetic optimization of NN topologies for the task of natural language processingJaime Davila. 821-826 [doi]
- Nonlinear channel equalization using new neural network modelYong-Woon Kim, Dong-Jo Park. 827-830 [doi]
- Algorithmically universal model of structureless parallelismKatya O. Gorbunova. 831-835 [doi]
- Performance improvement of the BSB model in classifier tasks using optimization techniquesPatricia Pelle, Carlos E. D'Attellis. 836-840 [doi]
- On the conditions of outer-supervised feedforward neural networks for null cost learningDe-Shuang Huang. 841-845 [doi]
- An adjustable model for linear to nonlinear regressionTony Jan, Anthony Zaknich. 846-850 [doi]
- The modular mapN. Lighttowler, A. R. Allen, H. Grant, D. C. Hendry, C. T. Spracklen. 851-856 [doi]
- Using factorial design to optimise neural networksMarizete Silva Santos, Teresa Bernarda Ludermir. 857-861 [doi]
- Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification propertiesRadu Dogaru, Marinel Alangiu, Matthias Rychetsky, Manfred Glesner. 862-867 [doi]
- Towards a high performance neural branch predictorLucian N. Vintan, Mihaela Iridon. 868-873 [doi]
- A spatial quantum neural computerElizabeth C. Behrman, James E. Steck, Steven R. Skinner. 874-877 [doi]
- Inverse PCA method for weight initialization in CMLP networkMikko Lehtokangas. 878-881 [doi]
- Locally linear independent component analysisJuha Karhunen, Simona Malaroiu. 882-887 [doi]
- A comparison of neural ICA algorithms using real-world dataXavier Giannakopoulos, Juha Karhunen, Erkki Oja. 888-893 [doi]
- A fast algorithm for estimating overcomplete ICA bases for image windowsAapo Hyvärinen, Razvan Cristescu, Erkki Oja. 894-899 [doi]
- Multiclass least squares support vector machinesJ. A. K. Suykens, J. Vandewalle. 900-903 [doi]
- On support vector decision trees for database marketingKristin P. Bennett, Donghui Wu, Leonardo Auslender. 904-909 [doi]
- Loss function for blind source separation-minimum entropy criterion and its generalized anti-Hebbian rulesHsiao-Chun Wu, José C. Príncipe, John G. Harris, Jui-Kuo Juan. 910-915 [doi]
- Optimal dimension reduction and transform coding with mixture principal componentsCynthia Archer, Todd K. Leen. 916-920 [doi]
- An information theoretic method for designing multiresolution principal component transformsOmid S. Jahromi, Bruce A. Francis. 921-926 [doi]
- MICA: multimodal independent component analysisShotaro Akaho, Yasuhiko Kiuchi, Shinji Umeyama. 927-932 [doi]
- Learning algorithm for independent component analysis by geodesic flows on orthogonal groupYasunori Nishimori. 933-938 [doi]
- A VLSI friendly algorithm for support vector machinesDavide Anguita, Andrea Boni, Sandro Ridella. 939-942 [doi]
- Moderating the outputs of support vector machine classifiersJames Tin-Yau Kwok. 943-948 [doi]
- Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integrationLei Xu 0001. 949-954 [doi]
- An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separationYiu-ming Cheung, Lei Xu 0001. 955-960 [doi]
- Autoregressive signal separation approach with seesaw-mapping technique on temporal source separationYiu-ming Cheung, Lei Xu 0001. 961-964 [doi]
- On the study of BKYY cluster number selection criterion for small sample data set with bootstrap techniquePing Guo, Lei Xu 0001. 965-968 [doi]
- Support vector approaches for engine knock detectionMatthias Rychetsky, Stefan Ortmann, Manfred Glesner. 969-974 [doi]
- Hybrid neural networks for frequency estimation of unevenly sampled dataRoberto Tagliaferri, Angelo Ciaramella, Leopoldo Milano, Fabrizio Barone. 975-979 [doi]
- Adaptive blind MIMO system identification using principal component neural modelsKonstantinos I. Diamantaras, Athina P. Petropulu. 980-984 [doi]
- 'Mechanical' neural learning and InfoMax orthonormal independent component analysisSimone G. O. Fiori, Pietro Burrascano. 985-988 [doi]
- Input variable selection using independent component analysisAndrew D. Back, Thomas P. Trappenberg. 989-992 [doi]
- Real world blind separation of convolved speech signalsMitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi. 993-997 [doi]
- Accelerated training of support vector machinesMatthias Rychetsky, Stefan Ortmann, Michael Ullmann, Manfred Glesner. 998-1003 [doi]
- Nonlinear methods for clustering and reduction of dimensionalityHamid Eghbalnia, Amir H. Assadi, John Carew. 1004-1009 [doi]
- Local-to-global topological methods in data analysis and applications to fMRI of human brainAmir H. Assadi, Hamid Eghbalnia, John Carew. 1010-1015 [doi]
- A local face statistics recognition methodology beyond ICA and/or PCAAnnie Xin Guan, Harold H. Szu. 1016-1021 [doi]
- Early vision image analyses using ICA in unsupervised learning ANNMohammed Ameen, Harold H. Szu. 1022-1027 [doi]
- Implementing neural networks into modern technologyM. Johnson. 1028-1032 [doi]
- Blind de-mixing real-time algorithm of piecewise time series mixtureZvi Markowitz, Harold H. Szu. 1033-1037 [doi]
- Maximum entropy ICA constrained by individual entropy maximization employing self-organizing mapsNoriaki Suetake, Yuu Nakamura, Takeshi Yamakawa. 1038-1042 [doi]
- Adaptive algorithms for accelerated PCA from an augmented Lagrangian cost functionChanchal Chatterjee, Zhengjiu Kang, Vwani P. Roychowdhury. 1043-1048 [doi]
- Thermodynamics proof of sensory learning and implication of mammal homeostasisHarold H. Szu. 1049-1053 [doi]
- Blind separation of convolutive mixturesJosé C. Príncipe, Hsiao-Chun Wu. 1054-1058 [doi]
- Independent subspace analysis shows emergence of phase and shift invariant features from natural imagesAapo Hyvärinen, Patrik O. Hoyer. 1059-1064 [doi]
- Multi-resolution support vector machineXuhui Shao, Vladimir Cherkassky. 1065-1070 [doi]
- Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent componentsLei Xu. 1071-1076 [doi]
- Performance of RBF equalizer in data storage channelsSooyong Choi, Daesik Hong. 1077-1080 [doi]
- A game-theoretic formulation on adaptive categorization in ART networksWai-keung Fung, Yun-Hui Liu. 1081-1086 [doi]
- Self-organization of shift-invariant receptive fieldsKunihiko Fukushima. 1087-1091 [doi]
- A self-scaling procedure in unsupervised correlational neural networksSylvain Chartier, Robert Proulx. 1092-1096 [doi]
- Unsupervised curve-based clusteringYuhui Yao, Lihen Chen, Yan Qiu Chen. 1097-1101 [doi]
- Unsupervised context-based learning of multiple temporal sequencesGuilherme de A. Berreto, Aluizio F. R. Araujo. 1102-1106 [doi]
- Probabilistic principal surfacesKyu-Yu Chang, Joydeep Ghosh. 1107-1112 [doi]
- A study of parallel neural networksWeigang Li, Nilton Correia da Silva. 1113-1116 [doi]
- Analytical results on pseudo-polynomial functional-link neural units for blind density shapingSimone G. O. Fiori, Pietro Burrascano. 1117-1120 [doi]
- Feature extraction from data structures with unsupervised recursive neural networksChristoph Goller, Marco Gori, Marco Maggini. 1121-1126 [doi]
- Parallel self-organization map using multiple stimuliMoritoshi Yasunaga, Kenichi Tominaga, Jung Hwan Kim. 1127-1130 [doi]
- Self-creating and adaptive learning of RBF networks: merging soft-competition clustering algorithm with network growth techniqueNanning Zheng, Zhihua Zhang, Gang Shi, Ying Qiao. 1131-1135 [doi]
- A cluster analysis based on a regularization methodSung Mahn Ahn, Sung Wook Baik. 1136-1139 [doi]
- A density based membership function for fuzzy clusteringGiuseppe Acciani, R. Caradonna, Ernesto Chiarantoni, G. Grassi. 1140-1143 [doi]
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- Reinforcement learning for autonomous robot navigationWilliam Ward Armstrong, Brant Coghlan, Dmitry O. Gorodnichy. 2282-2287 [doi]
- A neural-network Q-learning method for decentralized sequential detection with feedbackChengan Guo, Anthony Kuh. 2288-2291 [doi]
- New designs for universal stability in classical adaptive control and reinforcement learningPaul J. Werbos. 2292-2295 [doi]
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- Automatic generation of VHDL code for neural applicationsM. Diepenhorst, Martijn van Veelen, J. A. G. Nijhuis, Lambert Spaanenburg. 2302-2305 [doi]
- A synchronous high-speed, high-accuracy, loser-take-all circuitBogdan M. Wilamowski, Don L. Jordan. 2306-2309 [doi]
- Spatial to temporal conversion of images using a pulse-coupled neural networkEric L. Brown, Bogdan M. Wilamowski. 2310-2314 [doi]
- Hardware implementation of a neural network pattern shaper algorithmElizabeth J. Brauer, James J. Abbas, Brian Callaway, Joshua Colvin, John Farris. 2315-2318 [doi]
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- A fully parallel learning neural network chip for real-time controlJin Liu, Martin A. Brooke. 2323-2328 [doi]
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- The design of CMOS cellular neural network (CNN) using the neuron-bipolar junction transistor (νBJT)Chiou-Ling Yeh, Chung-Yu Wu. 2337-2342 [doi]
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- A study on DBM network with non-monotonic neuronsMitsunaga Kinjo, Shigeo Sato, Koji Nakajima. 2347-2350 [doi]
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- Modeling of saccadic movements using neural networksMinho Lee, Sang-Woo Ban, Jun-Ki Cho, Chang-jin Seo, Soon Ki Jung. 2386-2389 [doi]
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- A current-mode programmable and expandable Hamming neural networkGuoxing Li, Bingxue Shi. 2429-2432 [doi]
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- Design of digital PID controller with gain planning based on CMACMário Eduardo Bordon, Ivan Nunes da Silva, André Nunes De Souza. 2456-2460 [doi]
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- A fuzzy neural network for data mining: dealing with the problem of small disjunctsYakov Frayman, Kai Ming Ting, Lipo Wang. 2490-2493 [doi]
- Knowledge extraction from radial basis function networks and multilayer perceptronsKenneth J. McGarry, Stefan Wermter, John MacIntyre. 2494-2497 [doi]
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- Time series modelling with recurrent CBPMikko Lehtokangas. 2560-2563 [doi]
- A new recurrent-network-based music synthesis method for Chinese plucked-string instruments - Pipa and QinSheng-Fu Liang, Alvin W. Y. Su, Cheng-Teng Lin. 2564-2569 [doi]
- Estimating signal-adapted wavelets using sparseness criteriaPatrik O. Hoyer, Aapo Hyvärinen. 2570-2575 [doi]
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- Extracting knowledge from temporal clusters for real-time clusteringKristin L. Adair. 2580-2583 [doi]
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- Colored noise in dynamic systems: unbiased modeling by constructive neural networksShahram Hosseini, Christian Jutten. 2629-2632 [doi]
- Nonlinear processing of high resolution radar sea clutterMark R. Cowper, Bernard Mulgrew. 2633-2638 [doi]
- Multilayer perceptron based optimal state space reconstruction for time series modellingNarada D. Warakagoda, Magne Hallstein Johnsen. 2639-2642 [doi]
- A new scheme for extracting multi-temporal sequence patternsPengyu Hong, Sylvian R. Ray, Thomas Huang. 2643-2648 [doi]
- Frequency selection with oscillatory neurons for engine misfire detectionDaeEun Kim, Jaehong Park. 2649-2652 [doi]
- Image segmentation based on a dynamically coupled neural oscillator networkKe Chen 0001, DeLiang L. Wang. 2653-2658 [doi]
- Segmentation of medical imagery with pulse-coupled neural networksPaul E. Keller, A. David McKinnon. 2659-2663 [doi]
- Adaptive fuzzy Kohonen clustering network for image segmentationWang Lei, Feihu Qi. 2664-2667 [doi]
- Weighted centroid neural network for edge preserving image compressionDong-Chul Park, Young-June Woo. 2668-2673 [doi]
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- Perceptual organization based on temporal dynamicsXiuwen Liu, DeLiang Wang. 2679-2684 [doi]
- A fuzzy-Bayesian approach to image expansionMustafa Sakalli, Hong Yan, Alan M. N. Fu. 2685-2689 [doi]
- Piecewise Wiener filter model based on fuzzy partition of local wavelet features for image restorationIoannis M. Stephanakis, George Stamou, Stefanos D. Kollias. 2690-2693 [doi]
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- An interference rejection-based radial basis function neural network for hyperspectral image classificationQian Du, Chein-I Chang. 2698-2703 [doi]
- A biologically inspired connectionist model for image feature extraction in 2D pattern recognitionRaymond K. Chafin, Cihan H. Dagli. 2704-2709 [doi]
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- Properties of taking-decision function in psychophysical testsVitali V. Gavrik. 2715-2718 [doi]
- Application of neural networks for stereo-camera calibrationYongtae Do. 2719-2722 [doi]
- Image segmentation based on motion/luminance integration and oscillatory correlationErdogan Çesmeli, DeLiang Wang. 2723-2728 [doi]
- Neural networks to depict the knowledge of multi-agents systems: application to image processingRoger Cozien, Ronan Querrec, Frederick Douchet, Fabrice Lopin. 2729-2734 [doi]
- Genetic learning of neural networks and its applicationsMu-Song Chen, Fong Hang Liao. 2735-2740 [doi]
- A neural network structure for detecting straight line segmentsNabeel Murshed. 2741-2746 [doi]
- Detection of people in imagesA. N. Rajagopalan, Philippe Burlina, Rama Chellappa. 2747-2752 [doi]
- Subjective aspects in image database systemKaori Yoshida, Toshikazu Kato, Torao Yanaru. 2753-2756 [doi]
- Fusing multi-model hydrological dataRobert J. Abrahart, Linda See. 2757-2762 [doi]
- Estimate traffic control patterns using a hybrid neural networkEdmond Chin-Ping Chang. 2763-2767 [doi]
- A fusion design of linear feedforward neural networks for pattern classificationDe-Shuang Huang. 2768-2771 [doi]
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- Learning decision fusion in cooperative modular neural networksLovell Hodge, Gasser Auda, Mohamed Kamel. 2777-2781 [doi]
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- Interacting multiple model tracking using a neural extended Kalman filterMark W. Owen, Stephen C. Stubberud. 2788-2791 [doi]
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- Recognition of printed Arabic words with fuzzy ARTMAP neural networkAdnan Amin, Nabeel Murshed. 2903-2907 [doi]
- Fuzzy neural network for document region classification using human visual perception featuresMario I. Chacon Murguia, Jay B. Jordan. 2908-2913 [doi]
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- Feature selection in text categorization using the Baldwin effectEdmund S. Yu, Elizabeth D. Liddy. 2924-2927 [doi]
- Combining multiple HONG networks for recognizing unconstrained handwritten numeralsAjantha S. Atukorale, Ponnuthurai N. Suganthan. 2928-2933 [doi]
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- Fuzzy speech recognitionTong Zhao, Peng-Yung Woo. 2959-2961 [doi]
- Speech recognition using fuzzy logicYong-Qian Ying, Peng-Yung Woo. 2962-2964 [doi]
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- A dynamic neural network for syllable recognitionLin Zhong 0001, Yuanyuan Shi, Runsheng Liu. 2997-3001 [doi]
- Evolving connectionist systems: A theory and a case study on adaptive speech recognitionNikola Kasabov. 3002-3007 [doi]
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- How the internal state subnetwork worksDragan Jevtic. 3020-3024 [doi]
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- A text-to-speech system for Arabic using neural networksSihem Ben Sassi, Rafik Braham, Abdelfettah Belghith. 3030-3033 [doi]
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- Neural predictive coding applied to noisy phoneme recognitionCyril Chavy, Bruno Gas, Jean-Luc Zarader. 3046-3049 [doi]
- A neural model of centered tri-gram speech recognitionDan Ventura, D. Randall Wilson, Brian Moncur, Tony Martinez. 3050-3053 [doi]
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- Decimated input ensembles for improved generalizationKagan Turner, Nikunj C. Oza. 3069-3074 [doi]
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- Building pattern classifiers using convolutional neural networksBao-Qing Li, Baoxin Li. 3081-3085 [doi]
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- Pattern recognition using constructive algorithmsHumberto Costa de Sousa, André C. P. L. F. de Carvalho. 3092-3097 [doi]
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- Forensic application of a novel hybrid neural networkSoonil D. Rughooputh, Harry C. S. Rughooputh. 3143-3146 [doi]
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- Target recognition using neural networks for model deformation measurementsRichard W. Ross, David L. Hibler. 3152-3155 [doi]
- Feature selection: a neural approachGiovanna Castellano, Anna Maria Fanelli. 3156-3160 [doi]
- Selectively optimized networks for automatic clutter rejectionLipChen Alex Chan, Nasser M. Nasrabadi, Don J. Torrieri. 3161-3164 [doi]
- Competitive learning for extraction of visual representations of motionDean K. McNeill, Howard C. Card. 3165-3169 [doi]
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- Application of associative memory in human face detectionMu-Chun Su, Chien-Hsing Chou. 3194-3197 [doi]
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- Robust regularized learning using distributed approximating functional networksZhuoer Shi, D. S. Zhang, Donald J. Kouri, David K. Hoffman. 3213-3216 [doi]
- A neural network-based sequential Bayes classifier for moving target discriminationXi Yu, Mahmood R. Azimi-Sadjadi. 3217-3220 [doi]
- Adaptive feature mapping for underwater target classificationDe Yao, Mahmood R. Azimi-Sadjadi, Gerald J. Dobeck. 3221-3224 [doi]
- A new linguistic fuzzy approach to recognition of olfactory signalsBeatrice Lazzerini, Adriana Maggiore, Francesco Marcelloni. 3225-3229 [doi]
- Pattern classification by an incremental learning fuzzy neural networkGary G. Yen, Phayung Meesad. 3230-3235 [doi]
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- Hybrid fuzzy logic and neural network model for fingerprint minutiae extractionVijay K. Sagar, Jit Beng Alex Koh. 3255-3259 [doi]
- Subspace methods in object/face recognitionW. Zhao. 3260-3264 [doi]
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- Fingerprint recognition using wavelet transform and probabilistic neural networkSeok-Won Lee, Boo Hee Nam. 3276-3279 [doi]
- Application of a post-processing algorithm for improved human face recognitionMetin Artiklar, Mohamad H. Hassoun, Paul Watta. 3280-3283 [doi]
- A filterbank-based representation for classification and matching of fingerprintsAnil K. Jain 0001, Salil Prabhakar, Sharath Pankanti. 3284-3285 [doi]
- Pose-invariant recognition of faces at unknown aspect viewsAshit Talukder, David Casasent. 3286-3290 [doi]
- Discriminative feature extraction and selection applied to face recognitionMéziane Yacoub, Younès Bennani. 3291-3294 [doi]
- A comparison of artificial neural networks and cluster analysis for typing biometrics authenticationLeenesh Kumar Maisuria, Cheng Soon Ong, Wen Kin Lai. 3295-3299 [doi]
- An integrated shape and intensity coding scheme for face recognitionChengjun Liu, Harry Wechsler. 3300-3304 [doi]
- Fed-batch dynamic optimization using generalized dual heuristic programmingMahesh S. Iyer, Donald C. Wunsch. 3305-3310 [doi]
- Performance of neural networks for call admission control in ATM systemsJiang Xie, Jun Peng. 3311-3316 [doi]
- A software development process model for artificial neural networks in critical applicationsDavid M. Rodvold. 3317-3322 [doi]
- Convolutional decoding using recurrent neural networksAri Hämäläinen, Jukka Henriksson. 3323-3327 [doi]
- An efficient method for placement of VLSI designs with Kohonen mapMorteza Saheb Zamani, Farhad Mehdipour. 3328-3331 [doi]
- Modelling geoid undulations with an artificial neural networkJames Seager, Philip Collier, Jonathon Kirby. 3332-3335 [doi]
- Neural network decoding of turbo codesR. Annauth, Harry C. S. Rughooputh. 3336-3341 [doi]
- A non-feedback neuron filter algorithm for separated board-level routing problems in FPGA-based logic emulation systemsYoichi Takenaka, Nobuo Funabiki. 3342-3347 [doi]
- Blind robust neural network beamformerYuxin Chen, Zhenya He. 3348-3351 [doi]
- Fault detection in a thermoplastic injection molding process using neural networksB. Ribeiro. 3352-3355 [doi]
- On the variance reduction of neural networks-experimental results for an automotive applicationStefan Ortmann, Matthias Rychetsky, Manfred Glesner. 3356-3360 [doi]
- Adaptive state estimation using dynamic recurrent neural networksAlexander G. Parlos, Sunil K. Menon, Amir F. Atiya. 3361-3364 [doi]
- Wavelet packet feature extraction for vibration monitoringGary Y. Yen, Kuo-Chung Lin. 3365-3370 [doi]
- Applying neural networks to determine vibration parameters in a turbineC. W. Caulkins, R. B. T. Oliveira, A. C. P. L. F. Carvalho, Solange O. Rezende, Maria Carolina Monard. 3371-3376 [doi]
- The application of techniques of neural network to product structure analysis of iron and steel corporationXing Chen, Xiqin He, Wenzhong Wang, Huaguang Zhang, Xihuai Yang. 3377-3379 [doi]
- An hybrid neural network based system for optimization of coagulant dosing in a water treatment plantNicolas Valentin, Thierry Denoeux, F. Fotoohi. 3380-3385 [doi]
- Neural networks based algorithm for detecting high impedance faults on power distribution linesM. Al-Dabbagh, L. Al-Dabbagh. 3386-3390 [doi]
- A neural network approach to the control of the plate width in hot plate millsDae Yup Lee, Hyung Suck Cho. 3391-3396 [doi]
- Analysis and prediction of cranberry growth with dynamical neural network modelsC.-H. Chen, Bichuan Shen. 3397-3400 [doi]
- The selforganizing neural network approach to load forecasting in the power systemStanislaw Osowski, Krzysztof Siwek. 3401-3404 [doi]
- Phase-space based short-term load forecasting for deregulated electric power industryIrislav Drezga, Saifur Rahman. 3405-3409 [doi]
- Using neural networks in agent teams to speedup solution discovery for hard multi-criteria problemsShaun Gittens, Richard Goodwin. 3410-3413 [doi]
- ANN in local secondary voltage control conceptAndrej Ferdo Gubina, Ferdinand Gubina. 3414-3418 [doi]
- Using artificial neural networks to improve hardware branch predictorsAndres A. Rustan. 3419-3424 [doi]
- Bayesian belief networks for effective troubleshootingAnand Mishra, Tülay Adali. 3425-3429 [doi]
- Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machineShuhui Li, Donald C. Wunsch, Edgar O'Hair, Michael G. Giesselmann. 3430-3434 [doi]
- Artificial neural networks for predicting the optimal number of kanbans in a JIT manufacturing environmentSridhar Narayan, Barry A. Wray, Richard G. Mathieu. 3435-3437 [doi]
- Optimal prediction of the Nile River flow using neural networksAlaa F. Sheta, Mohamed S. El-Sherif. 3438-3441 [doi]
- A survey of artificial neural networks based fault detection and fault diagnosis techniquesKurosh Madani. 3442-3446 [doi]
- A neural network-based speed filter for induction motors: Adapting to motor load changesRaj Mohan Bharadwaj, Alexander G. Parlos, Hamid A. Toliyat, Sunil K. Menon. 3447-3450 [doi]
- Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problemLaurent Bougrain, Frédéric Alexandre. 3451-3456 [doi]
- Intelligent tasks schedulerJose Ricardo da Silva Ferreira, Jose Homero Feitosa Cavalcanti, Pablo Javier Alsina. 3457-3462 [doi]
- A fuzzy neural approach to plasma disruption prediction in tokamak reactorsFrancesco Carlo Morabito, Mario Versaci. 3463-3467 [doi]
- Recurrent neural gas in electric load forecastingMarcelo Andrade Teixeira, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva, Guilherme Ferreira Ribeiro. 3468-3473 [doi]
- A dynamic neural estimator for admission control in ATM networkLiang Zhang, Zemin Liu. 3474-3477 [doi]
- Short term load forecasting using a synchronously operated recurrent neural networkMario Costa, Eros Pasero, Federico Piglione, Daniela Radasanu. 3478-3482 [doi]
- Modeling delayed coking plant via RBF neural networksKeijin Zhang, Jinshou Yu. 3483-3486 [doi]
- Nonlinear soft sensing modeling by combining multiple RBFN-based modelsWei Zhong, Jinshou Yu. 3487-3489 [doi]
- Feature recognition on expressed sequence tags of human DNAArtemis G. Hatzigeorgiou, Martin Reczko. 3490-3493 [doi]
- Associative memory for geon-based object identificationSimon Léonard, Richard Lepage, Tanneguy Redarce. 3494-3499 [doi]
- Random time-division operation for salience of visual contoursLei Guo, Tian-Min Liu. 3500-3504 [doi]
- Semiconductor defect classification using hyperellipsoid clustering neural networks and model switchingKeisuke Kameyama, Yukio Kosugi. 3505-3510 [doi]
- A facial expression recognition system using neural networksJyh-Yeong Chang, Jia-Lin Chen. 3511-3516 [doi]
- Neural network-based fuzzy modeling of the student in intelligent tutoring systemsRegina Stathacopoulou, George D. Magoulas, Maria Grigoriadou. 3517-3521 [doi]
- A connectionist approach for adaptive lesson presentation in a distance learning courseKyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou. 3522-3526 [doi]
- LabelSOM: on the labeling of self-organizing mapsAndreas Rauber. 3527-3532 [doi]
- A neural network based DSS for advising students in the school of businessMasood A. Badri. 3533-3538 [doi]
- An autonomous multi-feature selective attention neural network modelEduardo da Fonseca Melo, Edson Costa de Barros Carvalho Filho. 3539-3543 [doi]
- Holograph contraction by oscillatory filtered learning for dynamic sub-pattern matchingJaved I. Khan. 3544-3547 [doi]
- A self generating neural architecture for data analysisL. Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan. 3548-3551 [doi]
- An ANN for recognizing melody preferencesShelby L. Eaton, Michael Stiber. 3552-3555 [doi]
- Success factors determination for entrepreneurs in Santa Catarina by using neural networksRogério Cid Bastos, Lia Caetano Bastos. 3556-3559 [doi]
- Use of artificial neural network to help the valuation of football referees' physical fitnessElizabeth Soares Fernandes, Adhemar Maria do Valle Filho, Marcos Aantonio A. Scremin, Lai Caetano Bastos, Silvana Pezzi, Rogério Cid Bastos, João Bosco da Mota Alves. 3560-3562 [doi]
- 3D object recognition with a specialized mixtures of experts architecturePeter Walter, Ingo Elsen, Holger Muller, Karl-Friedrich Kraiss. 3563-3568 [doi]
- Classification of prostate tissue using neural networksW. Gnadt, D. Manolakis, Ernest J. Feleppa, Frederic L. Lizzi, Tian Liu, P. Lee. 3569-3572 [doi]
- DNA, proteins and compressibilityTorsten Alvager, Gary Stuart, Allen Shotwell. 3573-3576 [doi]
- Self-organizing maps for time series analysis of electromyographic dataCarole A. Tucker. 3577-3580 [doi]
- Hybrid wavelet/neural network analysis of differences in functional brain imagesNing Ma, Henry H. Holcomb, Joel M. Morris. 3581-3585 [doi]
- EEG-based communication via dynamic neural network modelsWilliam D. Penny, Stephen J. Roberts. 3586-3590 [doi]
- Multi-feature texture analysis for the classification of carotid plaquesChristina I. Christodoulou, Constantinos S. Pattichis, Marios Pantziaris, T. Tegos, Andrew Nicolaides, T. Elatrozy, M. Sabetai, S. Dhanjil. 3591-3596 [doi]
- A neurogenetic model of muscle EMG to torqueLinda Kent. 3597-3600 [doi]
- EMG signal classification using conic section function neural networksLale Özyilmaz, Tulay Yildirim, Huseyin Seker. 3601-3603 [doi]
- Analysis of parametric images derived from genomic sequences using neural network based approachesAlain Giron, Joseph Vilain, Camille Serruys, Djamel Brahmi, Patrick Deschavanne, Bernard Fertil. 3604-3608 [doi]
- Multi-neural networks approaches for biomedical applications: classification of brainstem auditory evoked potentialsAnne-Sophie Dujardin, Véronique Amarger, Kurosh Madani. 3609-3613 [doi]
- A clustering method of chromosome fluorescence profiles by modified self organizing mapHiroshi Douzono, Shigeomi Hara, Sumiko Eishima, Yoshio Noguchi. 3614-3617 [doi]
- An artificial neural network study of the relationship between arousal, task difficulty and learningTorsten Alvager, Eric Anderson, Valentina A. French, Gregory Putman, Lei Shi. 3618-3621 [doi]
- Boosting Naive-Bayes classifiers to predict outcomes for hip prosthesesHugo D. Navone, D. Cook, T. Downs, D. Chen. 3622-3626 [doi]
- A comparative study of linear and quadratic discriminant classifier techniques for variable selection: a case study in predicting the effectiveness of hydroxyurea treatment of sickle cell anemiaSaeid Roushanzamir, Homayoun Valafar, Faramarz Valafar. 3627-3631 [doi]
- A constraint satisfaction neural network for medical diagnosisGeorgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo. 3632-3635 [doi]
- Development of a neural network derived index for early detection of prostate cancerZhen Zhang, Hong Zhang. 3636-3641 [doi]
- Using the receiver operating characteristic to asses the performance of neural classifiersThomas J. Downey Jr., Donald J. Meyer, Rumi Kato Price, Edward L. Spitznagel. 3642-3646 [doi]
- A neural network made of a Kohonen's SOM coupled to a MLP trained via backpropagation for the diagnosis of malignant breast cancer from digital mammogramsTúlio Cesar Soares dos Santos Andreé Antonio C. R. da Silva. 3647-3650 [doi]
- Sequential decision-making using feedforward neural networks: applications in surgeryGuenter M. Tusch. 3651-3655 [doi]
- Prediction of ventilation requirements in an intensive care unitKatheryn Margaret Adeney, Colleen M. Ennett, Monique Frize, Michael J. Korenberg. 3656-3660 [doi]
- On the use of hybrid neural networks and non-linear invariants for prediction of electrocardiogramsPilar Gómez-Gil, William J. B. Oldham. 3661-3664 [doi]
- Predicting outcome for hospitalized cardiac patients using a combined neural network and rough set approachM. B. Zaremba, A. Wielgosz. 3665-3668 [doi]
- Therapeutic drug dosing prediction using adaptive models and artificial neural networksPeter Lada, Michael E. Brier, Jacek M. Zurada. 3669-3673 [doi]
- Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithmsYuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, Walter F. Good. 3674-3679 [doi]
- Identification of dynamical noise levels in chaotic systems and application to cardiac dynamics analysisWenjiang Pei, Luxi Yang, Zhenya He. 3680-3684 [doi]
- Artificial neural network applications in immunologyVladimir Brusic, John Zeleznikow. 3685-3689 [doi]
- Detection of non-stationarities in functional MRI data sets using the multilevel hypermap architectureBernd Brückner, Birgit Gaschler-Markefski, Henning Hofmeister, Henning Scheich. 3690-3693 [doi]
- Prediction of a patient's response to a specific drug treatment using artificial neural networksHomayoun Valafar, Faramarz Valafar. 3694-3697 [doi]
- Definition of a metric for medical symptoms using neural networksRoberto Silva, Antonio C. R. da Silva. 3698-3701 [doi]
- Dealing with censorship in neural network modelsH. Wong, P. Harris, Paulo J. G. Lisboa, S. P. J. Kirby, R. Swindell. 3702-3706 [doi]
- Neural networks for predicting Kaposi's sarcomaDirk Husmeier, Gillian S. Patton, Myra O. McClure, John R. W. Harris, Stephen J. Roberts. 3707-3711 [doi]
- Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosisJoseph Y. Lo, Walker H. Land, Clayton T. Morrison. 3712-3716 [doi]
- A generation method of substantially seeded rights unbalancing in a tournament-type match table by the frame of balanced 2-3-4 trees structureHidemi Kodate, Satoshi Ono. 3717-3721 [doi]
- An adaptive neural network approach to hypertext clusteringNatalija Vlajic, Howard C. Card. 3722-3726 [doi]
- Applications of multilayer feedforward networks on WWW document searchZhixiang Chen, Xiannong Meng, Richard Fox, Richard Folwer. 3727-3729 [doi]
- Trained neural networks play chess endgamesJie Si, Rilun Tang. 3730-3733 [doi]
- TD methods applied to mixture of experts for learning 9×9 Go evaluation functionRaonak Zaman, Donald C. Wunsch. 3734-3739 [doi]
- The scout cluster architecture for cognitive computingJohn E. Lecky. 3740-3744 [doi]
- Solving jigsaw puzzles using Hopfield neural networksP. N. Suganthan. 3745-3749 [doi]
- A neuro-based optimization algorithm for tiling problems with rotationShinsuke Manabe, Hideki Asai. 3750-3753 [doi]
- Cellular neural networks for information storage and retrieval: a new design methodGiuseppe Grassi, Giuseppe Acciani. 3754-3757 [doi]
- The impulse response of BP neural networks and its application to seismic wavelet extractionZ. L. Liu, J. P. Castagna, C. H. Pan. 3758-3761 [doi]
- Neural network for seismic principal components analysisKou-Yuan Huang. 3762-3767 [doi]
- An infrasonic event neural network classifierFredric M. Ham, Thomas A. Leeney, Heather M. Canady, Joseph C. Wheeler. 3768-3773 [doi]
- Using NNs to retrieve multiple geophysical parameters from satellite dataVladimir M. Krasnopolsky. 3774-3778 [doi]
- DeepNet: an ultrafast neural learning code for seismic imagingJacob Barhen, David B. Reister, Vladimir A. Protopopescu. 3779-3784 [doi]
- Neural network system for cloud classification from satellite imagesI. S. Torsum, Ewa Kwiatkowska. 3785-3790 [doi]
- Comparison of two different PNN training approaches for satellite cloud data classificationBin Tian, Mahmood R. Azimi-Sadjadi, Wenfeng Gao. 3791-3795 [doi]
- Hierarchical neural network approach to ocean colour extraction from remotely sensed imageryEwa J. Ainsworth. 3796-3801 [doi]
- Real-time short-term natural water inflows forecasting using recurrent neural networksPaulin Coulibaly, François Anctil. 3802-3805 [doi]
- Neural network technology for strata strength characterizationWalter K. Utt. 3806-3809 [doi]
- Neural nets and star/galaxy separation in wide field astronomical imagesStefano Andreon, Giorgio Gargiulo, Giuseppe Longo, Roberto Tagliaferri, Nicola Capuano. 3810-3815 [doi]
- Evaluation and identification of lightning models by artificial neural networksIvan Nunes da Silva, André Nunes De Souza, Márcio Eduardo Bordon. 3816-3820 [doi]
- Multiplicative-additive neural networks with active neuronsMêuser Jorge Silva Valenca, Teresa Bernarda Ludermir. 3821-3823 [doi]
- Automated galaxy classification in large sky surveysS. C. Odewahn. 3824-3829 [doi]
- Sensitivity analysis, neural networks, and the financeRay Tsaih. 3830-3835 [doi]
- A model auto-selection financial data simulation software using neuron-adaptive feedforward neural networksShuxiang Xu, Ming Zhang. 3836-3839 [doi]
- Using neural networks to predict abnormal returns of quarterly earningsAlan M. Safer, Bogdan M. Wilamowski. 3840-3843 [doi]
- A neural network metamodel approach to capital investment decision analysisRavipim Chaveesuk, Alice E. Smith. 3844-3849 [doi]
- A forecasting approach for stock index future using grey theory and neural networksSheng-Chai Chi, Hung-Pin Chen, Chun-Hao Cheng. 3850-3855 [doi]
- Application of techniques of computational intelligence for constructing reliable decision support systemsNorio Baba, Hiroyuki Asakawa, Ken Sato. 3856-3859 [doi]
- Further improvement of adaptive supervised learning decision (ASLD) network in stock marketKei Keung Hung, Lei Xu. 3860-3865 [doi]
- A new stock price prediction method based on pattern classificationZhanggui Zeng, Hong Yan, Alan M. N. Fu. 3866-3870 [doi]
- Data analysis, visualization, and hidden factor discovery by unsupervised learningErkki Oja, Kimmo Kiviluoto. 3871-3876 [doi]
- Pricing call warrants with artificial neural networks: the case of the Taiwan derivative marketShu-Heng Chen, Wo-Chiang Lee. 3877-3882 [doi]
- An empirical method to select dominant independent components in ICA for time series analysisYiu-ming Cheung, Lei Xu 0001. 3883-3887 [doi]
- Comparative analysis of artificial neural network models: application in bankruptcy predictionChris Charalambous, Andreas Charitou, Froso Kaourou. 3888-3893 [doi]
- Recurrent artificial neural networks for forecasting of forward interest ratesBouchra Bouqata, Amine Bensaid, Ralph Palliam. 3894-3897 [doi]
- A new criterion of NN structure selection for financial forecastingAntonio L. Perrone, Gianfranco Basti. 3898-3903 [doi]
- Quantitatively modeling multiple phase transformations in metals using generalized Hopfield netsErnst Dieter Schmitter. 3904-3907 [doi]
- Integration of a neural ore grade estimation tool in a 3D resource modeling packageIoannis Konstantinou Kapageridis, Bryan Denby, G. Hunter. 3908-3912 [doi]
- Using neural networks for fiber content analysisC.-H. Chen, Xiaohui Zhang. 3913-3916 [doi]
- Neural network development foundations for low airspeed predictionMiguel A. Morales. 3917-3921 [doi]
- A feedforward neural networks (FNN) used for semiconductor wafer fabrication parameters optimizationYongmei Chen, Xiangdong Wang, Shoujue Wang, Linchu Shi. 3922-3926 [doi]
- Modeling of thermodynamic properties of substances by neural networksReijo Lilja, Jari J. Hämäläinen. 3927-3932 [doi]
- Predictive head tracking for virtual realityEmad W. Saad, Thomas P. Caudell, Donald C. Wunsch. 3933-3936 [doi]
- Distribution comparison for site-specific regression modeling in agricultureDragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoranam Obradovic. 3937-3941 [doi]
- Application of Bayesian neural network in electrical impedance tomographyJouko Lampinen, Aki Vehtari, Kimmo Leinonen. 3942-3947 [doi]
- Neural networks based chemical process modelsSherif Hashem, Anoop Mathur, Pariz Famouri. 3948-3951 [doi]
- A gradual neural network approach for broadcast scheduling in packet radio networksNobuo Funabiki, Yoichi Takenaka, Teruo Higashino. 3952-3957 [doi]
- Marine propeller design using artificial neural networksConstantinos C. Neocleous, Christos N. Schizas. 3958-3961 [doi]
- Mass spectral search method using the neural network approachC. S. Tong, K. C. Cheng. 3962-3967 [doi]
- Artificial neural networks and data fusion as a biomass virtual sensorRaúl R. Leal Ascencio. 3968-3973 [doi]
- Forecasting airline seat show rates with neural networksKai T. Wu, Frank C. Lin. 3974-3977 [doi]
- New and used bills classification for cepstrum patternsMasaru Teranishi, Sigeru Omato, Toshihisa Kosaka. 3978-3981 [doi]
- Assembling neural networks for modelling of large nonlinear dynamic systemsColin Cole, Russel Stonier. 3982-3987 [doi]
- Modelling of active microwave transistors using artificial neural networksTulay Yildirim, Hamid Torpi, Lale Özyilmaz. 3988-3991 [doi]
- Channel equalization for severe intersymbol interference and nonlinearity with a radial basis function neural networkSung-Hyun Heo, Sung-Kwon Park, Sang-Won Nam. 3992-3995 [doi]
- Application of radial basis function networks to model electric arc furnacesA. R. Sadeghian, J. D. Lavers. 3996-4001 [doi]
- Connectionist system for music interpretationAlejandro Pazos, A. S. del Riego, Julian Dorado, Juan J. Romero Cardalda. 4002-4005 [doi]
- Nonlinear cluster transformations for increasing pattern separabilityRobi Polikar, Lalita Udpa, Satish S. Udpa. 4006-4011 [doi]
- Classification of eddy current NDT data by probabilistic neural networksM. Angeli, Pietro Burrascano, E. Cardelli, Simone G. O. Fiori, S. Resteghini. 4012-4014 [doi]
- Use of reliability measures to improve the performance of fuzzy ARTMAP networksPradeep Ramuhalli, Lalita Udpa, Satish S. Udpa. 4015-4020 [doi]
- Independent component analysis and neural approaches to the extraction of features from NDT/NDEFrancesco Carlo Morabito. 4021-4026 [doi]
- Artificial neural network application for material evaluation by electromagnetic methodsR. Sikora, J. Sikora, E. Cardelli, T. Chady. 4027-4032 [doi]
- Neural network for inverse mapping in eddy current testingGabriel Preda, Radu C. Popa, Kazuyuki Demachi, Kenzo Miya. 4033-4036 [doi]
- A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimumSin Chun Ng, Shu Hung Leung, Andrew Luk. 4037-4042 [doi]
- Combining locally trained neural networks by introducing a reject classSuk-Joon Kim, Byoung-Tak Zhang. 4043-4047 [doi]
- Evolutionary hybrid composition of activation functions in feedforward neural networksEduardo Masato Iyoda, Fernando J. Von Zuben. 4048-4053 [doi]
- A neural network endowed with symbolic processing abilityDimitrios Vogiatzis, Andreas Stafylopatis. 4054-4058 [doi]
- A probabilistic self-organizing classification neural network architectureDeborah A. Stacey, Ramin Farshad. 4059-4063 [doi]
- Data-driven theory refinement algorithms for bioinformaticsJihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs. 4064-4068 [doi]
- Natural gas load forecasting with combination of adaptive neural networksAlireza Khotanzad, Hassan M. Elragal. 4069-4072 [doi]
- Neural network ensemble with temperature controlPitoyo Hartono, Shuji Hashimoto. 4073-4078 [doi]
- Using simulated annealing to optimize receptive fields for MLP networks with ensemble encodingAshraf M. Abdelbar, Sridhar Narayan. 4079-4083 [doi]
- Gender and ethnic classification of human faces using hybrid classifiersSrinivas Gutta, Harry Wechsler. 4084-4089 [doi]
- A spatiotemporal memory that separates "what" and "when"Wee Kheng Leow. 4090-4094 [doi]
- Generating rules from trained network using fast pruningRudy Setiono, Wee Kheng Leow. 4095-4098 [doi]
- A multi-modal neural network using Chebyschev polynomials and its applicationIkuo Yoshihara, Tomoyuki Nakagawa, Moritoshi Yasunaga, Kenichi Abe. 4099-4102 [doi]
- Approaching the post nonlinearity of blind mixtures by hybrid neural networkHanchuan Peng, Zheru Chi. 4103-4106 [doi]
- Hybrid intelligent architecture for real time processingAnatoliy B. Averbukh. 4107-4110 [doi]
- A neural network approach to MAP in belief networksYun Peng, Miao Jin, Kaihua Chen. 4111-4114 [doi]
- Hybrid algorithms of multi-agent control of mobile robotsA. V. Timofeev, Fedor A. Kolushev, Alexander A. Bogdanov. 4115-4118 [doi]
- Improving generalisation using neural bidirectional convergenceMichael K. Weir. 4119-4124 [doi]
- Hybrid neural network techniques for storm system identification and trackingJo Ann Parikh, John S. DaPonte, Joseph N. Vitale. 4125-4128 [doi]
- Rule extraction from a trained artificial neural networkJ. M. Barron, C. T. Spracklen, G. Whittington. 4129-4133 [doi]
- A new rule extraction method from neural networksMinoru Fukumi, Norio Akamatsu. 4134-4138 [doi]
- An implementation of a theorem prover in symmetric neural networksAlvaro Kilkerry Neto, Gerson Zaverucha, Luis Alfredo Vidal de Carvalho. 4139-4144 [doi]
- Supplementing neural reinforcement learning with symbolic methods: Possibilities and challengesRun Sun. 4145-4150 [doi]
- Parallel genetic algorithms for a neurocontrol problemYau-Zen Chang, Justin Chang, Chun-Kai Huang. 4151-4155 [doi]
- Evolution of large feedforward networksLois Boggess. 4156-4160 [doi]
- Leaning of neural networks using extended genetic algorithm with neutral mutation-application to ill-posed medical diagnostic system [for leaning read learning]Kazuhiro Ooba, Eiichiro Tazaki. 4161-4165 [doi]
- Object oriented approach to combined learning of decision tree and ADF GPAyahiko Niimi, Eiichiro Tazaki. 4166-4170 [doi]
- A learning system: Integrating ANN, OOKB and GA for decision supportChungYong Tsai. 4171-4174 [doi]
- Parallel back-propagation using genetic algorithm: real-time BP learning on the massively parallel computer CP-PACSMoritoshi Yasunaga, Eiji Yoshida, Ikuo Yoshihara. 4175-4180 [doi]
- Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammographyBin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good. 4181-4185 [doi]
- Utilizing unique parametrization property in approximate genetic learning of feed-forward networksRoman Neruda. 4186-4191 [doi]
- Exploiting complexity in evolutionary search using neural networksTerry Bossomaier, Tim Cranny, Derek Schneider. 4192-4196 [doi]
- Fuzzy neural nets can solve the overfitting problemThomas Feuring, James J. Buckley, Yoichi Hayashi. 4197-4201 [doi]
- Adaptive model-based control of robotic dynamic systems with a new neuro-fuzzy-fractal approachOscar Castillo, Patricia Melin. 4202-4207 [doi]
- Intelligent adaptive control of aircraft dynamic systems with a new neuro-fuzzy-fractal approachPatricia Melin, Oscar Castillo. 4208-4212 [doi]
- A new online fuzzy control scheme based on reference modelJie Si, Naiyao Zhang, Rilun Tang. 4213-4216 [doi]
- Decreasing excess fuzziness in fuzzy outputs from neural networks for linguistic rule extractionHisao Ishibuchi, Manabu Nii, Kimiko Tanaka. 4217-4222 [doi]
- Fuzzy rules acquisition and parameters evolution based on fuzzy neural networksWu Yan, Hongbao Shi. 4223-4227 [doi]
- Summary of the fuzzy Hopfield-Tank TSP modelWilliam J. Wolfe. 4228-4231 [doi]
- Neural network methods for rule inductionRicardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir. 4232-4236 [doi]
- Application of neural network in the field of target threat evaluationAn Xiao Dong, Liu Gou Qing. 4237-4240 [doi]
- An application of spatial prediction using a fuzzy-neural networkJanakiraman K. Kumar. 4241-4246 [doi]
- Using RBF neural networks and a fuzzy logic controller to stabilize wood pulp freenessJason Bard, Jim Patton, Mohamad T. Musavi. 4247-4252 [doi]
- A neuro-fuzzy system for prediction of pulp digester K-numberMohamad T. Musavi, Christian Domnisoru, G. Smith, D. R. Coughlin, A. L. Gould. 4253-4258 [doi]
- Recognition of 3D arm movements using neural networksMu-Chun Su, Hai Huang, Yu-Xiang Zhao, Hsuen-Fan Chen, Yi-Yuan Chen. 4259-4262 [doi]
- Hybrid tuning of activation functions in feedforward neural networksLeandro Nunes de Castro, Luis Alberto Ramirez, Fernando Gomide, Fernando J. Von Zuben. 4263-4268 [doi]
- Rule generation from neural networks for student assessmentM. J. McAlister, Stefan Wermter. 4269-4273 [doi]
- Selective dynamic fuzzy neural systemJeong-Yon Shim, Chong-Sun Hwang. 4274-4277 [doi]
- A hybrid multimodel neural network for nonlinear systems identificationJ. Baruch, Federico Thomas, Ruben Garrido, Elena Gortcheva. 4278-4283 [doi]
- Using adaptive resonance theory networks and fuzzy matching to recognize target features in thermal imagesAlan E. Putman, Gene A. Tagliarini, Edward W. Page. 4284-4288 [doi]
- Application of self-organizing network and MLP for fuzzy rule extractionAdam E. Gaweda, Jacek M. Zurada. 4289-4293 [doi]
- Efficient neuro-fuzzy rule generation by parametrized gradient descent for seismic event discriminationF. Gravot, J. D. Muller, S. Muller. 4294-4299 [doi]
- Non-normalised compensatory hybrid fuzzy neural networksHuseyin Seker, David H. Evans. 4300-4303 [doi]
- Content based image retrieval using a neuro-fuzzy techniqueS. Kulkami, B. Verma, P. Sharma, H. Selvaraj. 4304-4308 [doi]
- Rule-based noise cancellation: a fuzzy line enhancerTao Zhou, Gerald Miller, Peng-Yung Woo. 4309-4314 [doi]
- Optimization of fuzzy procedure for classification of medical problemsJames C. Reynolds. 4315-4318 [doi]
- Gas turbine vibration analysis with fuzzy ART neural networkGregory A. Harrison, Fred J. Taylor. 4319-4323 [doi]
- Neo fuzzy neuron filter aiming at reduction of a Gaussian-impulsive noiseNoriaki Suetake, Takeshi Yamakawa. 4324-4328 [doi]
- Simultaneous approach to fuzzy cluster, principal component and multiple regression analysisAsuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi. 4329-4333 [doi]
- Simultaneous application of clustering and correspondence analysisAsuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi. 4334-4338 [doi]
- LVQ-FCV for missing value estimation and pattern classificationEriko Ikeda, Hidetomo Ichihashi, Kazunori Nagasaka, Tetsuya Miyoshi. 4339-4344 [doi]
- A proposal of learning system with fuzzy rules under large environmentsYukinobu Hoshino, Katsuari Kamei. 4345-4350 [doi]
- A fuzzy classifier based on probabilistic relaxationAlan M. N. Fu, Hong Yan. 4351-4356 [doi]
- A modified dynamic non-singleton fuzzy logic system for nonlinear modelingMohammad B. Menhaj, Amir Abolfazl Suratgar, Mahdi Karrari. 4357-4361 [doi]
- The clustering of natural terms: an adaptive resonance theory modelGeorge Dunbar. 4362-4364 [doi]
- Evolution of communication using symbol combination in populations of neural networksAngelo Cangelosi. 4365-4368 [doi]
- Multi-objective cellular neural networksGuoxiang Liu, Shunichiro Oe. 4369-4374 [doi]
- Neural finite-state transducers: a bottom-up approach to natural language processingRoman Pozarlik. 4375-4380 [doi]
- Neural algorithms of path planning for mobile robots in transport systemsFedor A. Kolushev, Alexander A. Bogdanov. 4381-4386 [doi]
- Multiple-criteria genetic algorithms for feature selection in neuro-fuzzy modelingChristos Emmanouilidis, Andrew Hunter, John MacIntyre, Chris Cox. 4387-4392 [doi]
- Generation of explicit knowledge from empirical data through pruning of trainable neural networksAlexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev. 4393-4398 [doi]
- Finite element analysis based Hopfield neural network model for solving nonlinear electromagnetic field problemsFei Guo, Peng Zhang, Fang Wang, Xikni Ma, Guanyuan Qiu. 4399-4403 [doi]
- A linear constraint satisfaction approach to Bayesian networksAshraf M. Abdelbar. 4404-4408 [doi]
- A new indirect encoding method with variable length gene code to optimize neural network structuresKunikazu Kobayashi, Masanao Ohbayashi. 4409-4412 [doi]
- Image segmentation by artificial life approach using autonomous agentsHideki Kagawa, Makoto Kinouchi, Masafumi Hagiwara. 4413-4418 [doi]
- Neural networksAlexander E. Karnga. 4419-4421 [doi]
- Neural networks for precollege studentsJessa L. Bemley. 4422-4427 [doi]
- The Boltzmann machineTafsir Thiam. 4428-4431 [doi]
- Neural networksJustin Staley. 4432-4434 [doi]
- Hopfield networksJessye Bemley. 4435-4437 [doi]
- The McCulloch-Pitts modelSamantha Hayman. 4438-4439 [doi]