Table of Contents

• The prefrontal cortex: Categories, concepts, and executive controlEarl K. Miller. 1 [doi]
• Perceptual processes that create objects from fragmentsPhilip J. Kellman. 2-7 [doi]
• Cortical dynamics of form perceptionStephen Grossberg. 8-10 [doi]
• Moving in a fog: stimulus contrast affects the perceived speed and direction of motionStuart Anstis. 11-15 [doi]
• Cortical dynamics of motion integration and segmentationEnnio Mingolla. 16-21 [doi]
• Self-organisation of language instruction for robot action controlMark Elshaw, Stefan Wermter, Peter Watt. 22-27 [doi]
• Fusion of structure adaptive self-organizing maps using fuzzy integralKyung-Joong Kim 0001, Sung-Bae Cho. 28-33 [doi]
• A local linear modeling paradigm with a modified counterpropagation networkJeongho Cho, José C. Príncipe, Mark A. Motter. 34-38 [doi]
• Adaptive double self-organizing map and its application in gene expression dataHabtom W. Ressom, Dali Wang, Padma Natarajan. 39-44 [doi]
• A new design method for complex-valued multistate hopfield associative memoryMehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada. 45-50 [doi]
• A two-processing element adaptable linear oscillating recurrent system with single-weight plasticityMichael R. Johnson, José C. Príncipe. 51-54 [doi]
• Annealed imitation: fast dynamics for maximum cliqueMarcello Pelillo. 55-60 [doi]
• Dynamic properties of a class of cellular neural networks: model, stability analysis and design methodGuiseppe Grassi, Donato Cafagna. 61-65 [doi]
• Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLPSung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Miguel A. L. Nicolelis. 66-70 [doi]
• Artificial neural network-based pharmacodynamic population analysis in chronic renal failureAdam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada. 71-74 [doi]
• Identifying riskier combinations of risky behavior using a self-organizing mapSusan B. Garavaglia. 75-80 [doi]
• Local features in biomedical image clusters extracted with independent component analysisChristoph Bauer, Fabian J. Theis, Wolfgang Bäumler, Elmar Wolfgang Lang. 81-84 [doi]
• Numerical solution of elliptic partial differential equation by growing radial basis function neural networksJianyu Li, Siwei Luo, Yingjian Qi, Yaping Huang. 85-90 [doi]
• Automatic basis selection for RBF networks using Stein's unbiased risk estimatorAli Ghodsi 0001, Dale Schuurmans. 91-95 [doi]
• Cosine radial basis function neural networksMary M. Randolph-Gips, Nicolaos B. Karayiannis. 96-101 [doi]
• A fast incremental learning algorithm of RBF networks with long-term memoryKeisuke Okamoto, Seiichi Ozawa, Shigeo Abe. 102-107 [doi]
• Color image segmentation using rival penalized controlled competitive learningLap-Tak Law, Yiu-ming Cheung. 108-112 [doi]
• Texture discrimination based on neural dynamics of visual perceptionVidya B. Manian, Ramón E. Vásquez. 113-118 [doi]
• Face detection using biologically motivated saliency map modelSang-Woo Ban, Jang-Kyoo Shin, Minho Lee 0001. 119-124 [doi]
• An association architecture for the detection of objects with changing topologiesJens Teichert, Rainer Malaka. 125-130 [doi]
• Protecting multimedia authenticity with ICA vaccination of digital bacteria watermarksHarold Szu, Steven Noel, Seong-Bin Yim, Jefferson M. Willey, Joe Landa. 131-136 [doi]
• Artificial intelligence approach to determine minimum dose of haemodialysisMonika Ray, Uvais Qidwai. 137-142 [doi]
• Neural networks for odor recognition in artificial nosesTeresa Bernarda Ludermir, Akio Yamazaki. 143-148 [doi]
• Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imagingJohn T. Fletcher, Seong G. Kong. 149-153 [doi]
• Adaptive neural networks control of drug dosage regimens in cancer chemotherapyAlexandru G. Floares, Carmen Floares, Mihai Cucu, Lucian Lazar. 154-159 [doi]
• Vertebra shape classification using MLP for content-based image retrievalSameer K. Antani, L. Rodney Long, George R. Thoma, Ronald Joe Stanley. 160-165 [doi]
• A Morlet wavelet classification technique for ICA filtered sEMG experimental dataAntonino Greco, Domenico Costantino, Francesco Carlo Morabito, Mario Versaci. 166-171 [doi]
• Time-frequency characterization of multi-channel dynamic sEMG recordings by neural networksBruno Azzerboni, Giovanni Finocchio, Maurizio Ipsale, Fabio La Foresta, Francesco Carlo Morabito. 172-176 [doi]
• Knowledge discovery in support of early diagnosis of hepatocellular carcinomaFederica Ciocchetta, Rossana Dell'Anna, Francesca Demichelis, Andrea Sboner, Amar Paul Dhillon, Arjun Dhillon, Andrew Godfrey, Alberto Quaglia. 177-181 [doi]
• On intrinsic generalization of low dimensional representations of images for recognitionXiuwen Liu, Anuj Srivastava, DeLiang Wang. 182-187 [doi]
• Effects of temporal frequency on speed discrimination and perceived speedHaoming Shen, Yoshifumi Shimodaira, Gosuke Ohashi. 188-193 [doi]
• CBP neural network for objective assessment of image qualityPaolo Gastaldo, Rodolfo Zunino, Elena Vicario, Ingrid Heynderickx. 194-199 [doi]
• Intensity-invariant color image segmentation using MPC algorithmSlawo Wesolkowski, M. Ed Jernigan. 200-205 [doi]
• Detecting salient contours using orientation energy distributionHyeon-Cheol Lee, Yoonsuck Choe. 206-211 [doi]
• Computational modeling of human performance in a sequence learning experimentRainer Spiegel, I. P. L. Mclaren. 212-217 [doi]
• Presynaptic modulation as fast synaptic switching: state-dependent modulation of task performanceGabriele Scheler, Johann Schumann. 218-223 [doi]
• Using temporal binding for connectionist recruitment learning over delayed linesCengiz Günay, Anthony S. Maida. 224-229 [doi]
• Universal computation by networks of model cortical columnsPatrick Simen, Thad A. Polk, Rick Lewis, Eric Freedman. 230-235 [doi]
• Binary autoassociative morphological memories derived from the kernel method and the dual kernel methodPeter Sussner. 236-241 [doi]
• On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learningEiji Mizutani, James Weldon Demmel. 242-247 [doi]
• A comparison of dual heuristic programming (DHP) and neural network based stochastic optimization approach on collective robotic search problemNian Zhang, Donald C. Wunsch II. 248-253 [doi]
• A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approachBao Rong Chang. 254-259 [doi]
• Forecasting stock index increments using neural networks with trust region methodsPaul Kang Hoh Phua, Xiaotian Zhu, Chung Haur Koh. 260-265 [doi]
• Decentralized algorithms for sensor registrationValentino Crespi, George Cybenko. 266-271 [doi]
• Modeling orbitofrontal involvement in decision making on a gambling taskDaniel S. Levine 0001, Britain Mills, Steven Estrada, Carson Clanton, Stephen Denton. 272-275 [doi]
• Consciousness and its correlates in awake condition, in different sleep stages and in epilepsyPeter B. C. Fenwick, George K. Kostopoulos, Lichan Liu, Andreas A. Ioannides. 276-281 [doi]
• Early striate activity related to attention in a choice reaction taskVahe Poghosyan, Tadahiko Shibata, Peter B. C. Fenwick, Lichan Liu, Andreas A. Ioannides. 282-286 [doi]
• Testing models of attention with MEGAndreas A. Ioannides, John G. Taylor. 287-291 [doi]
• The CODAM model of attention and consciousnessJohn G. Taylor. 292-297 [doi]
• Simulations of attention control models in sensory and motor paradigmsJohn G. Taylor, Nickolaos F. Fragopanagos. 298-303 [doi]
• Multi-objective optimal control of batch processes using recurrent neuro-fuzzy networksJie Zhang. 304-309 [doi]
• Stability analysis of fuzzy robot control without fuzzy rule baseJosip Kasac, Branko Novakovic, Dubravko Majetic, Danko Brezak. 310-315 [doi]
• Enhancing multi-neural systems through the use of hybrid structuresAnne M. P. Canuto, Michael C. Fairhurst, Gareth Howells 0001. 316-320 [doi]
• A hierarchical neuro-fuzzy system based on S-implicationsRobert Nowicki, Rafal Scherer, Leszek Rutkowski. 321-325 [doi]
• A fuzzy autoassociative morphological memoryPeter Sussner. 326-331 [doi]
• Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approachMustafa C. Ozturk, José C. Príncipe, Bryan A. Davis, Deniz Erdogmus. 332-336 [doi]
• Clustering in coupled maps on small-world networksRogério de Oliveira, Luiz H. A. Monteiro. 337-340 [doi]
• Coherent oscillations as a neural code in a model of the olfactory systemAgustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna. 341-346 [doi]
• A dynamic neural network method for time series prediction using the KIII modelHaizhon Li, Robert Kozma. 347-352 [doi]
• Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architecturesEmílio Del Moral Hernandez. 353-358 [doi]
• Trajectory tracking via adaptive recurrent control with input saturationEdgar N. Sánchez, Luis J. Ricalde. 359-364 [doi]
• Possible nanoelectronic implementation of neuromorphic networksÖzgür Türel, Ibrahim Muckra, Konstantin Likharev. 365-370 [doi]
• The design of a bionic sensory chip based on the CNN model derived from the Mammalian retinaWen-Chia Yang, Li-Ju Lin, Chung-Yu Wu. 371-375 [doi]
• An analog VLSI system for computing depth from motion parallaxSirsha S. Karri, Albert H. Titus. 376-380 [doi]
• Predicting protein cellular localization sites with a hardware analog neural networkSteffen G. Hohmann, Johannes Schemmel, Felix Schürmann, Karlheinz Meier. 381-386 [doi]
• An analog silicon retina with multi-chip configurationSeiji Kameda, Tetsuya Yagi. 387-392 [doi]
• The H1 neural network triggerChristian Kiesling. 393-398 [doi]
• Extension neural networkMeng-hui Wang, Chin-Pao Hung. 399-403 [doi]
• Determination of tea quality by using a neural network based electronic noseRitaban Dutta, Evor L. Hines, Julian W. Gardner, Kishana Ram Kashwan, Manabendra Bhuyan. 404-409 [doi]
• Global optimization for fast multilayer perceptron trainingJaewook Lee. 410-414 [doi]
• Evolutionary optimization of radial basis function networks for intrusion detectionAlexander Hofmann, Bernhard Sick. 415-420 [doi]
• Quantitative feature evaluation using hybrid neural network and fuzzy logic approachHao Jiang, Xin Feng. 421-425 [doi]
• A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functionsVassilis G. Kaburlasos, Stylianos E. Papadakis, Spyros Kazarlis. 426-431 [doi]
• Genetic learning of functional link networksChandrakumar Bhumireddy, C. L. Philip Chen. 432-437 [doi]
• Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamicsNikola K. Kasabov, Qun Song 0002, Ikuko Nishikanawa. 438-443 [doi]
• Finding optimal neural network basis function subsets using the Schmidt procedureFrancisco J. Maldonado, Michael T. Manry, Tae Hoon Kim. 444-449 [doi]
• A multi-core learning algorithm for Boolean neural networksDi Wang 0040, Narendra S. Chaudhari. 450-455 [doi]
• Solving the puzzle problem using Hopfield neural network in conjunction tree search algorithmJavid Taheri. 456-461 [doi]
• Implementing evolutionary self-organizing maps with the genetic of graph evolution theoryMaiga Chang, Jia-Sheng Heh. 462-467 [doi]
• Evolving digital circuits using particle swarmVenu G. Gudise, Ganesh K. Venayagamoorthy. 468-472 [doi]
• Representation and training of vector graphics with NRAAM networksMark Schaefer, Werner Dilger. 473-477 [doi]
• Evolution and adaptation of neural networksPaulito P. Palmes, Taichi Hayasaka, Shiro Usui. 478-483 [doi]
• Discriminative training of Bayesian Chow-Liu multinet classifiersKaizhu Huang, Irwun King, Michael R. Lyu. 484-488 [doi]
• Fault tolerance of feedforward artificial neural networks- a framework of studyPravin Chandra, Yogesh Singh. 489-494 [doi]
• Multioutput feedforward neural network selection: a Bayesian approachJean-Pierre Vila, Vivien Rossi. 495-500 [doi]
• Threshold-based dynamic annealing for multi-thread DAEM and its extremeMasaharu Takada, Ryohei Nakano. 501-506 [doi]
• True risk bounds for the regression of real-valued functionsRhee Man Kil, Imhoi Koo. 507-512 [doi]
• A divide-and-conquer based radial basis function network with application to recurrent modellingRong-bo Huang, Yiu-ming Cheung, Lap-Tak Law. 513-516 [doi]
• Handling class overlap with variance-controlled neural networksRalf Kretzschmar, Nicolaos B. Karayiannis, Fritz Eggimann. 517-522 [doi]
• Clustering using Renyi's entropyRobert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft. 523-528 [doi]
• Faithful feature extraction by greedy network-growing algorithmRyotaro Kamimura, Osamu Uchida. 529-534 [doi]
• How hierarchies of objects and constraints reduce complexityBlaga N. Iordanova. 535-540 [doi]
• A unified view of probabilistic PCA and regularized linear fuzzy clusteringYoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi. 541-546 [doi]
• Ensemble neural network methods for satellite-derived estimation of chlorophyll αWayne H. Slade Jr., Richard L. Miller, Habtom W. Ressom, Padma Natarajan. 547-552 [doi]
• An ensemble of classifiers approach for the missing feature problemStefan Krause, Robi Polikar. 553-558 [doi]
• A dual-phase technique for pruning constructive networksJean-Philippe Thivierge, François Rivest, Thomas R. Shultz. 559-564 [doi]
• How many neighbors to consider in pattern pre-selection for support vector classifiers?Hyunjung Shin, Sungzoon Cho. 565-570 [doi]
• Modular adaptive RBF-type neural networks for letter recognitionGao Daqi, Chengyin Li, Changwu Li. 571-576 [doi]
• A novel vector quantizer for pattern classification tasksV. Shiv Naga Prasad, Bayya Yegnanarayana, Sunitha Guruprasad. 577-581 [doi]
• The use of artificial neural networks to diagnose mastitis in dairy cattleMario G. López-Benavides, Sandhya Samarasinghe, Jonathan Hickford. 582-55 [doi]
• Artificial neural networks for diagnosis of hepatitis diseaseLale Özyilmaz, Tulay Yildirim. 586-589 [doi]
• Neural network-based estimation of light attenuation coefficientS. Srirangam, Habtom W. Ressom, Padma Natarajan, Mohamad T. Musavi, R. W. Virnstein, L. J. Morris, W. Tweedale. 590-595 [doi]
• Improved Bayesian MRI reconstruction involving neural priors based on a regularization approachDimitrios A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt. 596-600 [doi]
• Topographic independent component analysis for fMRI signal detectionAnke Meyer-Bäse, Dorothee Auer, Axel Wismüller. 601-605 [doi]
• Comparison and hybridization of neural networks and fuzzy logic in biomedical applicationsAmy J. O'Brien. 606-611 [doi]
• An intelligent system for detection of nematodes in digital imagesCarlos A. Silva, Kaiser M. C. Magalhaes, Adrião D. Dória Neto. 612-615 [doi]
• Classifying hemodynamics of MR brain perfusion images using independent component analysis (ICA)Yu-Te Wu, Yi-Hsuan Kao, Wan-Yuo Guo, Tzu-Chen Yeh, Jen-Chuen Hsieh, Michael Mu Huo Teng. 616-621 [doi]
• Raman spectra calibration, extraction and neural network based training for sample identificationZhengmao Ye, Gregory Auner, Prasad Manda. 622-626 [doi]
• Systolic blood pressure classificationS. Colak, Can Isik. 627-630 [doi]
• Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline networkPornchai Chanyagorn, Harold H. Szu, Ivica Kopriva. 631-635 [doi]
• Discrete feature weighting & selection algorithmNorbert Jankowski. 636-641 [doi]
• Estimation of cutting torque in drilling system based on flexible neural networkMyeonghee Kim, Nohutoma Matsunaga, Shigeyasu Kawaji. 642-647 [doi]
• Neural networks in comparing USN and Wageningen B-Series marine propellersConstantinos C. Neocleous, Christos N. Schizas. 648-653 [doi]
• Bayesian regularized neural network for multiple gene expression pattern classificationArpad Kelemen, Yulan Liang. 654-659 [doi]
• Quo Vadis neurocomputing? Neural computation at the edge to new perspectivesNils Goerke. 660-665 [doi]
• Using dynamic synapse based neural networks with wavelet preprocessing for speech applicationsSageev T. George, Alireza A. Dibazar, Vishal Desai, Theodore W. Berger. 666-669 [doi]
• High performance Arabic digits recognizer using neural networksYousef Ajami Alotaibi. 670-674 [doi]
• Speech segmentation using probabilistic phonetic feature hierarchy and support vector machinesAmit Juneja, Carol Y. Espy-Wilson. 675-679 [doi]
• An entropy based robust speech boundary detection algorithm for realistic noisy environmentsKim Weaver, Khurram Waheed, Fathi M. Salem. 680-685 [doi]
• Combining evidence from multiple modular networks for recognition of consonant-vowel units of speechSuryakanth V. Gangashetty, K. Sreenivasa Rao, A. Nayeemulla Khan, C. Chandra Sekhar, Bayya Yegnanarayana. 686-691 [doi]
• AANN models for speaker recognition based on difference cepstralsSunitha Guruprasad, N. Dhananjaya, Bayya Yegnanarayana. 692-697 [doi]
• Phoneme transcription based on Sampa for NorwegianTerje Kristensen, Bernd Treeck, Ronny Falck-Olsen. 698-703 [doi]
• Genetic algorithm applied to ICA feature selectionYaping Huang, Siwei Luo. 704-707 [doi]
• Amplitude and permutation indeterminacies in frequency domain convolved ICAAngelo Ciaramella, Roberto Tagliaferri. 708-713 [doi]
• Parallel structured independent component analysis for SIMO-model-based blind separation and deconvolution of convolutive speech mixtureHiroshi Saruwatari, Hiroaki Yamajo, Tomoya Takatani, Tsuyoki Nishikawa, Kiyohiro Shikano. 714-719 [doi]
• Adaptive and heuristic approaches for nonlinear source separationFernando Rojas 0001, Manuel Rodríguez Álvarez, Moisés Salmerón, Carlos García Puntonet, Rubén Martín-Clemente. 720-725 [doi]
• Neural net with two hidden layers for non-linear blind source separationRubén Martín-Clemente, Susana Hornillo-Mellado, José I. Acha, Carlos García Puntonet. 726-731 [doi]
• Robust local principal component analyzer with fuzzy clusteringKatsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi. 732-737 [doi]
• Stability analysis of blind signals separation algorithmsTianping Chen, Wenlian Lu. 738-741 [doi]
• Integrated learning of linear representationsXiuwen Liu, Aruj Srivastava. 742-746 [doi]
• Cauchy machine for blind inversion in linear space-variant imagingHarold Szu, Ivica Kopriva. 747-752 [doi]
• Hierarchical and dynamic SOM applied to image compressionJose M. Barbalho, José Alfredo F. Costa, Adrião D. D. Neto, Márcio Luiz De Andrade Netto. 753-758 [doi]
• Simplified nonlinear principal component analysisBeiwei Lu, William W. Hsieh. 759-763 [doi]
• Identification of dynamical systems using GMM with VQ initializationJing Lan, José C. Príncipe, Mark A. Motter. 764-768 [doi]
• PCA and ICA neural implementations for source separation - a comparative studyRadu Mutihac, Marc M. Van Hulle. 769-774 [doi]
• Algebraic independent component analysis: an approach for separation of overcomplete speech mixturesKhurram Waheed, Fathi M. Salem. 775-780 [doi]
• The self-organization by lateral inhibition model: validation of clusteringBin Tang, Malcolm I. Heywood, Michael A. Shepherd. 781-786 [doi]
• A simple learning algorithm for growing self-organizing maps and its application to the skeletonizationHiroki Sasamura, Toshimichi Saito. 787-790 [doi]
• The graded possibilistic clustering modelFrancesco Masulli, Stefano Rovetta. 791-796 [doi]
• An accurate and fast neural method for PCA extractionJoão B. O. Souza Filho, Luiz Pereira Calôba, José Manoel de Seixas. 797-802 [doi]
• Support vector visualization and clustering using self-organizing map and vector one-class classificationSitao Wu, Tommy W. S. Chow. 803-808 [doi]
• Modeling CMOS gate characteristics using independent component analysisThaddeus T. Shannon, David Abercrombie, James McNames. 809-813 [doi]
• Sunspot number prediction by a conditional distribution discrimination treeMarc Girot-Genet, Alain Pétrowski. 814-819 [doi]
• Exploiting PCA classifiers to speaker recognitionWanfeng Zhang, Yingchun Yang, Zhaohui Wu 0001. 820-823 [doi]
• A hybrid dynamical system as an automaton on the fractal setJun Nishikawa, Kazutoshi Gohara. 825-830 [doi]
• Phase transitions in a probabilistic cellular neural network model having local and remote connectionsMarko Puljic, Robert Kozma 0001. 831-835 [doi]
• Function complexity estimation and its application to the optimum tie of geophysical data using AnnsZhengping Liu, John P. Castanga. 836-840 [doi]
• Chaotic associative recalls for fixed point attractor patternsLiang Zhao 0001, Juan C. G. Cáceres, Harold Szu. 841-845 [doi]
• Improved chaotic associative memory using distributed patterns for image retrievalYuko Osana. 846-851 [doi]
• Incremental learning by VSF network and its chaotic effectsYoshitsugu Kakemoto, Shinichi Nakasuka. 852-857 [doi]
• Convergence analysis of chaotic dynamic neuronSang-Hee Kim, Won Woo Park. 858-863 [doi]
• A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulationMasaya Ohta, Katsumi Yamashita. 864-868 [doi]
• Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networksJ. P. Barnard, Chris Aldrich. 869-872 [doi]
• Yet another "optimal" neural representation for combinatorial optimizationSatoshi Matsuda. 873-878 [doi]
• A neural network model for general minimax problemYongling Zheng, Longhua Ma, Ji-xin Qian. 879-884 [doi]
• A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template libraryTakeshi Kamio, Mititada Morisue. 885-890 [doi]
• A winner-take-all circuit based on second order Hopfield neural networks as building blocksPavlo V. Tymoshchuk, Eugenius Kaszkurewicz. 891-896 [doi]
• Relaxing in a warped space: an effect due to the cooperation of static and dynamical neuronsKazuyoshi Tsutsumi. 897-901 [doi]
• New results on exponential periodicity of delayed neural networksChangyin Sun, Derong Liu 0001, Chun-Bo Feng. 902-907 [doi]
• Relating Bayesian learning to training in recurrent networksRainer Spiegel. 908-913 [doi]
• Adaptive parallel identification of dynamical systems by adaptive recurrent neural networksJames T. Lo, Devasis Bassu. 914-918 [doi]
• Implicit de-noising in hybrid recurrent nets for meta knowledge abductionDavid Al-Dabass, David J. Evans 0001, Siva Sivayoganathan. 919-923 [doi]
• Two-cell cellular neural networks: generation of new hyperchaotic multiscroll attractorsDonato Cafagna, Giuseppe Grassi. 924-929 [doi]
• Feedforward dynamic neural network technique for modeling and design of nonlinear telecommunication circuits and systemsJianjun Xu, Mustapha C. E. Yagoub, Runtao Ding, Qi-Jun Zhang. 930-935 [doi]
• Toward an analog VLSI implementation of adaptive resonance theory (ART2)Senthil Kumar Ganapathy, Albert H. Titus. 936-941 [doi]
• Integrated pulse neuron circuit for asynchronous pulse neural networksTakuya Taniguchi, Yoshihiko Horio, Kazuyuki Aihara. 942-947 [doi]
• Architecture research and hardware implementation on simplified neural computing system for face identificationJian Xu, Weijun Li, Yanfeng Qu, Hong Qin 0007, Shoujue Wang. 948-952 [doi]
• Hardware design of CMAC neural network for control applicationsChan-Mo Kim, Kwang-Ho Choi, Yong B. Cho. 953-958 [doi]
• A model-selection approach to the VLSI design of vector quantizersMassimiliano Bracco, Sandro Ridella, Rodolfo Zunino. 959-964 [doi]
• Silicon approximation to biological neuronVladimir A. Gorelik. 965-970 [doi]
• A VLSI implementation of mixed-signal mode bipolar neuron circuitryDong Pan, Bogdan M. Wilamowski. 971-976 [doi]
• A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capabilityStéphane Badel, Alexandre Schmid, Yusuf Leblebici. 977-982 [doi]
• An analog neural oscillator circuit for locomotion controller in quadruped walking robotKazuki Nakada, Tetsuya Asai, Yoshihito Amemiya. 983-988 [doi]
• A survey of perceptron circuit complexity resultsValeriu Beiu. 989-994 [doi]
• Platform performance comparison of PALM network on Pentium 4 and FPGAChangjian Gao, Dan Hammerstrom. 995-1000 [doi]
• Neural network for LIDAR detection of fishVikramjit Mitra, Chia-Jiu Wang, George Edwards. 1001-1006 [doi]
• Suppression of maternal ECG from fetal ECG using neuro fuzzy logic techniqueC. Kezi Selva Vijila, S. Renganathan, Stanley Johnson. 1007-1012 [doi]
• Eggplant classification using artificial neural networkYasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Kazuhide Shigeto. 1013-1018 [doi]
• Monitoring seagrass health using neural networksHabtom W. Ressom, S. K. Fyfe, Padma Natarajan, S. Srirangam. 1019-1024 [doi]
• A strategy for an efficient training of radial basis function networks for classification applicationsOliver Buchtala, Peter Neumann, Bernhard Sick. 1025-1030 [doi]
• Image processing techniques and neural network models for predicting plant nitrate using aerial imagesRamesh Kumar Gautam, Suranjan Panigrah. 1031-1036 [doi]
• Failure analysis of transmission devices using self-organizing mapBingchen Wang, Sigeru Omatu 0001, Toshiro Abe. 1037-1042 [doi]
• Application of neural network on LTCC fine line screen printing processChiu Kuo-Chuang. 1043-1047 [doi]
• Effect of regularization term upon fault tolerant trainingHaruhiko Takase, Hidehiko Kita, Tetumine Hayashi. 1048-1053 [doi]
• The application of neural network soft sensor technology to an advanced control system of distillation operationCuimei Bo, J. Li, Changyin Sun, Y. R. Wang. 1054-1058 [doi]
• Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter dataMarilyn L. Vaughn, J. G. Franks. 1059-1064 [doi]
• Artificial neural networks methods applied to conductometric microhotplate data for the identification of the type and relative concentration of chemical warfare agentsZvi Boger, Douglas C. Meier, Richard E. Cavicchi, Steve Semancik. 1065-1070 [doi]
• Neural network based benchmarks in the quality assessment of message digest algorithms for digital signatures based secure Internet communicationsDimitrios A. Karras, Vasilis Zorkadis. 1076-1080 [doi]
• Single-trial analysis of post-movement MEG beta synchronization using independent component analysis (ICA)Po-Lei Lee, Yu-Te Wu, L.-F. Chen, S. S. Chen, T. C. Yeh, L. T. Ho, Jen-Chuen Hsieh. 1081-1085 [doi]
• A hybrid HMM-neural network with gradient descent parameter trainingJaime Salazar, Marc Robinson 0001, Mahmood R. Azimi-Sadjadi. 1086-1091 [doi]
• A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberationsKenji Nakayama, Akihiro Hirano, Akihide Horita. 1092-1097 [doi]
• Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networksDe-Shuang Huang, Horace H. S. Ip, Ken C. K. Law, Hau-San Wong. 1098-1103 [doi]
• Improved multiuser detectors employing genetic algorithms in a space-time block coding systemYinggang Du, Kam Tai Chan. 1104-1109 [doi]
• A music retrieval system based on the extraction of non trivial recurrent themes and neural classificationBarbara Colaiocco, Francesco Piazza. 1110-1115 [doi]
• Support vector machines for multi-class signal classification with unbalanced samplesPeng Xu, Andrew K. Chan. 1116-1119 [doi]
• Inheritance of information in multi-layer sigma-pi neural networksRichard Stuart Neville. 1120-1125 [doi]
• Piecewise-linear modeling of analog circuits using trained feed-forward neural networks and adaptive clustering of hidden neuronsSimona Doboli, Gaurav Gothoskar, Alex Doboli. 1126-1131 [doi]
• Interpretation of geophysical surveys of archaeological sites using artificial neural networksDavid J. Bescoby, Gavin C. Cawley, P. Neil Chroston. 1132-1137 [doi]
• Solving quadratic programming problems with linear Hopfield networksEvgeny E. Dudnikov. 1138-1142 [doi]
• Model selection for k-nearest neighbors regression using VC boundsVladimir Cherkassky, Yunqian Ma, Jun Tang. 1143-1148 [doi]
• Binary image coding using cellular neural networksDirk Feiden, Ronald Tetzlaff. 1149-1152 [doi]
• Acoustic recurrent neural networks echo cancellersPedro H. G. Coelho, Luiz Biondi Neto. 1153-1156 [doi]
• Identification of a typical CD player arm using a two-layer perceptron neural network modelSanjay V. Dudul, Ashok A. Ghatol. 1157-1162 [doi]
• Rectilinear floorplanning of FPGAs using Kohonen mapMorteza Saheb Zamani, Masoud Soleimani. 1163-1167 [doi]
• RLS lattice algorithm using gradient based variable forgetting factorChi Fuk So, Sin Chun Ng, Shu Hung Leung. 1168-1172 [doi]
• On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classificationsDaqi Gao, Haijun Zhu, Guping Nie. 1173-1178 [doi]
• Pulse coupled neural network for motion detectionBo Yu, LiMing Zhang. 1179-1184 [doi]
• High performance associative memory with distance based training algorithm for character recognitionMing-Jung Seow, Vijayan K. Asari. 1185-1188 [doi]
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• Image edge detection using adaptive morphology Meyer wavelet-CNNYoung Hyun Baek, Oh-Sung Byun, Sung-Rung Moon. 1219-1222 [doi]
• The effects of training algorithms in MLP network on image classificationNihan Coskun, Tulay Yildirim. 1223-1226 [doi]
• A design of the object detection system using the RGASeiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu. 1227-1231 [doi]
• Exploitation of sparse properties of support vector machines in image compressionJonathan Robinson, Vojislav Kecman. 1232-1236 [doi]
• Unsupervised clustering of texture features using SOM and Fourier transformBrijesh Verma, Vallipuram Muthukkumarasamy, Changming He. 1237-1242 [doi]
• Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networksDianhui Wang, Alex Talevski, Tharam S. Dillon. 1243-1248 [doi]
• Retina encoder tuning and data encryption for learning retina implantsOliver Baruth, Rolf Eckmiller, Dirk Neumann 0001. 1249-1252 [doi]
• Face detection and emotional extraction system using double structure neural networkHironori Takimoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu. 1253-1257 [doi]
• A reliable method for recognition of paper currency by approach to local PCAAli Ahmadi, Sigeru Omatu 0001, Toshihisa Kosaka. 1258-1262 [doi]
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• Firing correlations improve detection of moving barsGarrett T. Kenyon, James Theiler, David W. Marshak, Bartlett Moore, Janelle Jeffs, Bryan J. Travis. 1274-1279 [doi]
• Location of coffee beans using Hopfield-type neural networkDavid R. Arellano-Baez, Edgar N. Sánchez, Flavio Augusto Prieto Ortíz. 1280-1283 [doi]
• Comments on using MLP and FFT for fast object/face detectionHazem M. El-Bakry. 1284-1288 [doi]
• Empirical inference problemsVladimir Vapnik. 1289 [doi]
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• Initial species discrimination experiments with riverine salmonidsJae-Byung Jung, James H. Jacobs, George A. Dowding, Patrick K. Simpson. 1295-1300 [doi]
• Inversion of neural network underwater acoustic model for estimation of bottom parameters using modified particle swarm optimizersBenjamin B. Thompson, Robert J. Marks II, Mohamed A. El-Sharkawi, Warren L. J. Fox, Robert T. Miyamoto. 1301-1306 [doi]
• Broadband sonar target classification: pool experimentsJae-Byung Jung, James H. Jacobs, Gerald F. Denny, Patrick K. Simpson. 1307-1312 [doi]
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• Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitryRandal A. Koene, Robert C. Cannon, Michael E. Hasselmo. 1328-1333 [doi]
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• Improving pseudorandom bit sequence generation and evaluation for secure Internet communications using neural network techniquesDimitrios A. Karras, Vasilis Zorkadis. 1367-1372 [doi]
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• Non-information-maximizing neural codingMichael Stiber. 2728-2733 [doi]
• Flexible self-organizing maps by information maximizationRyotaro Kamimura, Haruhiko Takeuchi. 2734-2739 [doi]
• Almost all noise types can improve the mutual information of threshold neurons that detect subthreshold signalsBart Kosko, Sanya Mitaim. 2740-2745 [doi]
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• Discovering hierarchical speech features using convolutional non-negative matrix factorizationSven Behnke. 2758-2763 [doi]
• Incremental rule learning with partial instance memory for changing conceptsMarcus A. Maloof. 2764-2769 [doi]
• Ensemble of classifiers based incremental learning with dynamic voting weight updateRobi Polikar, Stefan Krause, Lyndsay Burd. 2770-2775 [doi]
• Incremental learning with sleepKoichiro Yamauchi 0001. 2776-2781 [doi]
• Exemplar-based pattern recognition via semi-supervised learningGregorios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, Gregory L. Heileman. 2782-2787 [doi]
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