Table of Contents

• Low level visual motion processing using local motion detectorsRichard Beare, Andrew J. Blanksby, Abdesselam Bouzerdoum. 1-6 [doi]
• Neural networks-competence and performanceE. V. Krishnamurthy. 7-10 [doi]
• Neural basis for the design of fractional discriminant functionsSuresh Hungenahally. 11-15 [doi]
• Can computer vision assist creativity?Binh Pham 0001. 16-21 [doi]
• Automatic estimation of age at death from human bone cross-sections using neural networksTrefor J. Morgan, Z. Liu, Marimuthu Palaniswami. 22-26 [doi]
• Virtual cockpit: fuzzy neural networks in visual perceptionS. K. Hungenahally. 27-31 [doi]
• Unsupervised classification of Antarctic satellite imagery using Kohonen's self-organising feature mapD. Kilpatrick, Raymond Williams. 32-36 [doi]
• Colour bake inspection system using hybrid artificial neural networksJeffrey C.-H. Yeh, Leonard G. C. Hamey, Tas Westcott, Samuel K. Y. Sung. 37-42 [doi]
• A neural network component in a texture classification systemGuy Smith, Dennis Longstaff. 43-48 [doi]
• Identification of sample size needed in a given classification taskDapeng Tien. 49-52 [doi]
• A computational network for global optimization of particle tracks in stereo image velocimetryBrian B. Miller, Mark D. Bethea. 53-58 [doi]
• Device calibration of a color image scanner digitizing system by using neural networksMaeng-Sub Cho, Byoung-Ho Kang, M. Ronnier Luo. 59-62 [doi]
• An error perturbation for learning and detection of local minima in binary 3-layered neural networksYohtaro Yatsuzuka. 63-68 [doi]
• Closed semiring optimization circuits using a connectionist approachC. W. Tong, K. P. Lam. 69-72 [doi]
• Comparison of dynamic feature map models for environmental monitoringT. Trautmann, Thierry Denoeux. 73-78 [doi]
• Comparative analysis of some neural network architectures for data fusionJuan Cires, Pedro A. Romo, Pedro J. Zufiria. 79-83 [doi]
• Training ANN using linear minimax techniquesChris Charalambous. 84-89 [doi]
• Analog feedforward neural networks with very low precision weightsShahram Abdollahi-Alibeik, Farid Nemati, Mehrdad Sharif Bakhtiar. 90-94 [doi]
• Information measure of knowledge extracted from neurons as a tool for analyzing Boolean learning in artificial neural networksLawrence Peh, Chi Ping Tsang. 95-100 [doi]
• Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrapNaonori Ueda, Ryohei Nakano. 101-104 [doi]
• A connectionist approach to learning discrete-valued patternsG. Deon Oosthuizen, Paul Avenant. 105-110 [doi]
• Self-organizing operator map for nonlinear dimension reductionJyrki Joutsensalo, Antti Miettinen. 111-114 [doi]
• On improved learning algorithms with adaptive parameter regulation in feedforward netsJörg Wille, Thorsten Kolb. 115-120 [doi]
• Vibration fault detection of large turbogenerators using neural networksBrian Kerezsi, Ian Howard. 121-126 [doi]
• A hierarchical fractal net for pattern classificationBasabi Chakraborty, Yasuji Sawada. 127-131 [doi]
• Solving two-spiral problem through input data representationJiancheng Jia, Hock Chuan Chua. 132-135 [doi]
• Implementing the k-nearest neighbour rule via a neural networkYan Qiu Chen, Mark S. Nixon, Robert I. Damper. 136-140 [doi]
• Generic flaw detection within imagesPaul Stefan Williams, Michael D. Alder. 141-145 [doi]
• The Hough transform and the UpWrite: a comparisonRobert A. McLaughlin, Michael D. Alder. 146-151 [doi]
• Multi-chip module technologyYervant Zorian. 152-157 [doi]
• The impact of VLSI technologies on neural networksAlireza Moini, Kamran Eshraghian, Abdesselam Bouzerdoum. 158-163 [doi]
• A VLSI BAM neural network chip for pattern recognition applicationsS. M. Rezaul Hasan, Kang Siong Ng. 164-168 [doi]
• A VLSI friendly neural network with localised transfer functionsTim Körner, Ulrich Rückert 0001, Shlomo Geva, Kurt Malmstrom, Joaquin Sitte. 169-174 [doi]
• Cascade error projection: an efficient hardware learning algorithmTuan A. Duong. 175-178 [doi]
• Synaptic weight generation in VLSI stochastic neural networksJuan Garcia Ortega, J. M. Quero, C. L. Janer, Leopoldo García Franquelo. 179-182 [doi]
• On the development of a neural network based orthogonal nonlinear principal component algorithm for process data analysisC. J. Chessari, G. W. Barton, P. Watson. 183-188 [doi]
• Automatic source identification of monophonic musical instrument soundsIan Kaminskyj, A. Materka. 189-194 [doi]
• Hybrid neural network pattern recognition system for satellite measurementsJoakim Waldemark, Per-Ola Dovner, Jan Karlsson. 195-199 [doi]
• Neural network approximation: application to peak switching overvoltage determination in power systemsMohamed Aourid, Xuam-Dai Do. 200-204 [doi]
• Simulation of a neural net controller for motor drivesLuiz Eduardo Borges da Silva, Germano Lambert-Torres, Ernesto Castillo Saturno, Alexandre P. Alves da Silva, Xuan Dai Do. 205-209 [doi]
• Neuro-fuzzy modeling and control for magnetic field of deflection yokeByeong-Mook Chung, Chang-Ook Jung, Chang-Hyo Park. 210-215 [doi]
• Neural networks for ocean engineeringTeruo Fujii. 216-219 [doi]
• Application of neural network to marine vehicleIkuo Yamamoto. 220-224 [doi]
• Feedback-error-learning neural network for the automatic maneuvering system of a shipYohichi Ogawara. 225-230 [doi]
• On-line adaptable controller system for underwater robotKazuo Ishii, Teruo Fujii, Tamaki Ura. 231-236 [doi]
• An empirical study of the time complexity of various error functions with conjugate gradient backpropagationRaymond Lister, James V. Stone. 237-241 [doi]
• Learning by supervised clustering and matchingAh-Hwee Tan, Loo-Nin Teow. 242-246 [doi]
• Neural training of complex sequential associations using recurrent continuous backpropagationLi H. Chen, Poy B. Tan, Mike K. Weir, Shou K. Foo. 247-252 [doi]
• Entropic optimum synthesis of multi-layered feed-forward ANNsAndrea Pelagotti, Vincenzo Piuri. 253-258 [doi]
• A fully Kalman-trained radial basis function network for nonlinear speech modelingMartin Birgmeier. 259-264 [doi]
• On optimal radial basis function nets and nonlinear function estimatesAdam Krzyzak. 265-269 [doi]
• Neighbour-based MLPsRob A. Dunne, N. A. Campbell. 270-274 [doi]
• Neural network information criterion for the optimal number of hidden unitsTakashi Onoda. 275-280 [doi]
• On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiersShunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita. 281-284 [doi]
• A class of simple nonlinear 1-unit PCA neural networksFerdinand Peper, Hideki Noda. 285-289 [doi]
• Non-ontogenic sparse neural networksDavid A. Elizondo, Emile Fiesler, Jerzy J. Korczak. 290-295 [doi]
• A new orthogonal neural networkChing-Shiow Tseng, Shiow-Shung Yang. 296-299 [doi]
• Maximum likelihood training of probabilistic neural networks with rotationally related covariance matricesRoy L. Streit, Stephen G. Greineder, T. E. Luginbuhi. 300-303 [doi]
• Small, fast runtime modules for probabilistic neural networksE. Reyna, D. F. Specht, A. Lee. 304-308 [doi]
• The modified probabilistic neural network as a nonlinear correlator detectorAnthony Zaknich, Yianni Attikiouzel. 309-313 [doi]
• An adaptive tracking controller using neural networks for nonlinear systemsZhihong Man, Hong Ren Wu, Kamran Eshraghian, Marimuthu Palaniswami. 314-319 [doi]
• A self-learning neuro fuzzy controllerJ. Kanaka Durgamba, M. W. Cook. 320-322 [doi]
• Modeling of unsteady heat conduction field by using composite recurrent neural networksYasuaki Kuroe, Ichiro Kimura. 323-328 [doi]
• A comparison of criterion functions for a neural network applied to binary detectionDiego Andina, José L. Sanz-González, José A. Jiménez-Pajares. 329-333 [doi]
• A hierarchical anticipatory neural controller with fuzzy spectral filter diagnosticsAnya L. Tascillo. 334-338 [doi]
• Reinforcement learning method for DEDS supervisionLong Zhao, Zemin Liu. 339-344 [doi]
• Design of fuzzy inference systems using regression treesSook Lim, Sung-Chun Kim. 345-348 [doi]
• Fuzzy logic and knowledge representation in a symbolic-subsymbolic architectureSiong K. Tang, Tharam S. Dillon, Rajiv Khosla. 349-353 [doi]
• A parametric heterogeneous fuzzy data modelJames C. Bezdek, Richard J. Hathaway, Witold Pedrycz. 354-358 [doi]
• Neural multivariate prediction using even-knowledge and selective presentation learningKazuhiro Kohara. 359-364 [doi]
• Gain elimination from backpropagation neural networksGeorg Thimm, Emile Fiesler, Perry Moerland. 365-368 [doi]
• Cross-validation without a validation set in BP-trained neural netsMohamad H. Hassoun, Paul Benedict Watta, Rahul Shringarpure. 369-372 [doi]
• Training a neural network with conjugate gradient methodsMichael Towsey, Dogan Alpsan, Laszlo Sztriha. 373-378 [doi]
• Ambiguous binary representation in multilayer neural networksCheng-Yuan Liou, Wen-Jen Yu. 379-384 [doi]
• Efficient estimation of dynamically optimal learning rate and momentum for backpropagation learningXiao-Hu Yu, Guo-An Chen. 385-388 [doi]
• Utilization of hierarchical structure stochastic automata for the back propagation method with momentumNorio Baba, Hisashi Handa. 389-393 [doi]
• Pipelined neural tree learning by error forward-propagationAlois P. Heinz. 394-397 [doi]
• A dataflow processing element for neural network simulationM. Abu-Mutlaq, R. Braham. 398-402 [doi]
• Universal approximation using dynamic recurrent neural networks: discrete-time versionLiang Jin, Madan M. Gupta, Peter N. Nikiforuk. 403-408 [doi]
• A neural network classification treeYi-Shiou Chen, Tah-Hsiung Chu. 409-413 [doi]
• Writer verification using multiple neural networksHong Yan 0001, Jing Wu. 414-417 [doi]
• Artificial neural networks application for current rating of overhead linesMichael Negnevitsky, Tan Loc Le. 418-422 [doi]
• Application of neural networks in circuit analysisA. Hafid Zaabab, Qi-Jun Zhang, Michel S. Nakhla. 423-426 [doi]
• Fault modeling and reliability evaluations using artificial neural networksChyun-Shin Cheng, Yen-Tseng Hsu, Chwan-Chia Wu. 427-432 [doi]
• Neural network application to head and tail width control in a hot strip millX. Yao, A. K. Tieu, X. D. Fang, D. Frances. 433-437 [doi]
• Improved singular value decomposition by using neural networksC. M. Hadzer, S. M. Rezaul Hasan, Lau Kwee Sing. 438-442 [doi]
• Neural convolutional decoders in the satellite channelCheolwoo You, Daesik Hong. 443-448 [doi]
• A novel decoder structure for convolutional codes based on a multilayer perceptronWerner G. Teich, Jürgen Lindner. 449-454 [doi]
• Application of a high speed analog neural network chip in the first level RZ-trigger of the H1-experiment at HERAH. J. Behrend, G. Franke, M. Kander, S. Schiek, G. Schmidt. 455-458 [doi]
• Feature extraction of machinery diagnosis using neural networkYimin Shao, Kikuo Nezu, Kexing Chen, Xiaoping Pu. 459-464 [doi]
• Image clustering using self-organizing feature map with refinementKyung-Ah Han, Jong Chan Lee, Chi-Jung Hwang. 465-469 [doi]
• Artificial neural networks for force and power predictions in oblique cuttingV. Karri, H. Talhami. 470-475 [doi]
• The application of neural networks to UNIX computer securityKymie Tan. 476-481 [doi]
• A neural network for the automatic diagnosis of the telephone switching systemsHsin-Chia Fu, Wen-Lung Tung, Liang-Jzer Shen. 482-487 [doi]
• Application of recurrent neural network for active filterYoshinori Wada, Narade Pecharanin, Akira Taguchi, Nobukazu Iijima, Yoshinao Akima, Mototaka Sone. 488-491 [doi]
• Performance improvements for a neural network detectorDiego Andina, José L. Sanz-González, Octavio A. Rodríguez-Martín. 492-495 [doi]
• Representation of first order dynamical systems using neural networksJ.-A. Luzardo, A. Chassiakos, A. Rumbos. 496-501 [doi]
• Unsupervised learning for channel equalization using a neural network data receiverJoão Gomes, Victor Barroso. 502-506 [doi]
• Multiple neural network filtering for in-flight calibration of satellite measurementsJoakim Waldemark, Patrik Norqvist. 507-510 [doi]
• Using reinforcement learning to solve the labyrinth game, a nonlinear control applicationJoakim Waldemark. 511-515 [doi]
• Application of artificial neural networks to the real time operation of water treatment plantsA. Mirsepassi, B. Cathers, H. B. Dharmappa. 516-521 [doi]
• Classification of metal transfer mode using neural networksDaniel Vincent, John McCardle, Raymond Stroud. 522-525 [doi]
• Lithology classification using self-organising mapChun Che Fung, Kok Wai Wong, Halit Eren, Robert Charlebois. 526-531 [doi]
• arboART: ART based hierarchical clustering and its application to questionnaire data analysisShigekazu Ishihara, Keiko Ishihara, Mitsuo Nagamachi, Yukihiro Matsubara. 532-537 [doi]
• Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machinesNitzi M. Roehl, Carlos Eduardo Pedreira, H. R. Teles De Azevedo. 538-542 [doi]
• Neural networks applied to regioselectivity of radical additionsBui Tho Thanh. 543-545 [doi]
• Autonomous fault diagnosis system using learning with queriesOsamu Saito, Tadashi Sone. 546-549 [doi]
• Application of neural networks to computer gamingNorio Baba, Tomio Kita, Nobuhiro Oda. 550-554 [doi]
• Optimal neural network for solution of Lyapunov equationP. K. Meher, S. K. Pradhan. 555-559 [doi]
• Perceptron neural network to evaluate soybean plant shapeMari Oide, Seishi Ninomiya, Nobuo Takahashi. 560-563 [doi]
• Prime numbers and output codesRamesh R. Sarukkai. 564-568 [doi]
• An experimental evaluation of neural network approach to circuit partitioningSuthikshn Kumar, Kevin E. Forward, Marimuthu Palaniswami. 569-574 [doi]
• Neuro-aided guidance system for optimum desulphurization treatment in torpedo carsKen Nakamura, Kaichi Sagara. 575-579 [doi]
• Median and neural networks hybrid filtersAkira Taguchi, Mitsuji Muneyasu, Takao Hinamoto. 580-583 [doi]
• Data-dependent filters with fuzzy-neural networkAkira Taguchi, Hironori Takashima. 584-587 [doi]
• Learning chaotic dynamics in recurrent RBF networkT. Miyoshi, Hidetomo Ichihashi, S. Okamoto, T. Hayakawa. 588-593 [doi]
• Orthogonal polynomials neural network for function approximation and system modelingChu Kwong Chak, Gang Feng 0001, Chi Ming Cheng. 594-599 [doi]
• Signal classification based on frequency analysis using multilayer neural network with limited data and computationKazuyuki Hara, Kenji Nakayama. 600-605 [doi]
• A rule-based channel equalizer with learning capabilityJunhong Nie, T. H. Lee. 606-611 [doi]
• Control of the underexcitation mode of synchronous machines in power plantsCesare Alippi, Fabio Casamatta, Leonardo Furlan. 612-616 [doi]
• Stability and equilibrium points in neurocontrolTomas Hrycej. 617-621 [doi]
• Elastic fuzzy logic for self-learning control systemsHamid Beigy, Ali M. Eydgahi, S. D. Katebi. 622-626 [doi]
• Pressure control in a plant generating chloride by neural network PID controlKenji Iwasa, Noboru Morizumi, Sigeru Omatu. 627-630 [doi]
• A temperature control of steel strip using neural network in continuous annealing processShin-Yenog Kim, Jong-Dam Choi, Kyeong-Bae Yu, Seong-Jay Kim, Se-Yun Lee, Jong-Hoon Lee, Byeong-Won Moon, Yong-Hae Baek. 631-635 [doi]
• Identifying and controlling deadband systems using neural networksGildas Cherruel, Yvon Autret, François Dupont. 636-639 [doi]
• Neural network-based model reference control for inverted pendulumTohru Miyagawa, Yoshihisa Ishida. 640-644 [doi]
• Analog CMOS current-mode implementation of the feedforward neural network with on-chip learning and storageJeng-Feng Lan, Chung-Yu Wu. 645-650 [doi]
• Hierarchical mixture of experts and Max-Min propagation neural networksPablo A. Estévez, Ryohei Nakano. 651-656 [doi]
• A behaviour-oriented approach to an implicit "object-understanding" in visual attentionHorst-Michael Gross, D. Heinke, Hans-Joachim Boehme, Ulf-Dietrich Braumann, Torsten Pomierski. 657-662 [doi]
• Classification capabilities of architecture-specific recurrent networksJacques Ludik, Ian Cloete. 663-668 [doi]
• Engram decay in artificial neural networksHoward Copland, Tim Hendtlass. 669-673 [doi]
• Acquiring semantic power in a "weightless" neural networkJoel de Lima Pereira Castro Junior. 674-679 [doi]
• Network expansion and network compression-further discussion on structure variation methodsXun Liang. 680-685 [doi]
• 'NEURAL-MAINE': intelligent on-line multiple sensor diagnostics for steam turbines in power generationTom Harris, Lee Gamlyn, P. Smith, J. MacIntyre, A. Brason, R. Palmer, H. Smith, A. Slater. 686-691 [doi]
• Dynamic structure adaptation in feedforward neural networks-an example of plant monitoringRobert Kozma 0001, Masaharu Kitamura. 692-697 [doi]
• Combined inverse system method and neural network for designing nonlinear excitation control lawC. H. Zhang, J. M. K. MacAlpine, T. P. Leung, Q. J. Zhou. 698-701 [doi]
• Transient stability assessment: an artificial neural network approachLau Buon Sing, Wong Kit Po. 702-707 [doi]
• Genetic algorithms enhanced Kohonen's neural networksShyh-Jier Huang, Chuan-Chang Hung. 708-712 [doi]
• A neural network image classification system for automatic inspectionJohn S. Mashford. 713-717 [doi]
• Acoustic diagnosis for blower with wavelet transform and neural networksManabu Kotani, Yasuo Ueda, Haruya Matsumoto, Toshihide Kanagawa. 718-723 [doi]
• Failure diagnosis for pneumatic control valves by neural networkTakashi Matsui, Takeki Nogami, Yoshihide Yokoi. 724-729 [doi]
• Using neural network for parts inspectionS. M. Tam, K. C. Cheung. 730-733 [doi]
• Fusion of integrated multisensor data for tool wear monitoringG. Littlefair, M. A. Javed, Graham T. Smith. 734-737 [doi]
• Invariant representation and hierarchical network for inspection of nuts from X-ray imagesA. Sim, B. Parvin, P. Keagy. 738-743 [doi]
• Fuzzy rule extraction from a trained multilayer neural networkChris Matthews, Ilona Jagielska. 744-748 [doi]
• Building fuzzy systems by soft competitive learningJunhong Nie, T. H. Lee. 749-754 [doi]
• An autonomous, adaptive optimization control system with cooperative fuzzy reasoning and a neural network for large scale process operationsHiroshi Matsumoto, Y. Ohsawa. 755-759 [doi]
• Coactive neural fuzzy modelingEiji Mizutani, Jyh-Shing Roger Jang. 760-765 [doi]
• Neuro-fuzzy projection pursuit regressionTetsuya Miyoshi, Keisuke Nakao, Hidetomo Ichihashi, Kazunori Nagasaka. 766-770 [doi]
• New forms of combined matrices in fuzzy cognitive mapsPaulo Camargo Silva. 771-776 [doi]
• A functional analytic approach to incremental learning in optimally generalizing neural networksSethu Vijayakumar, Hidemitsu Ogawa. 777-782 [doi]
• An /spl epsi/-approximation approach for global optimization with an application to neural networksMin Lu, Kiyotaka Shimizu. 783-788 [doi]
• Topology analysis of data space using self-organizing feature mapKazuhiro Minamimoto, Kazushi Ikeda, Kenji Nakayama. 789-794 [doi]
• Unit-growing learning optimizing the solvability condition for model-free regressionFernando J. Von Zuben, Márcio Luiz De Andrade Netto. 795-800 [doi]
• Second-order training for recurrent neural networks without teacher-forcingFernando J. Von Zuben, Márcio Luiz De Andrade Netto. 801-806 [doi]
• Inserting background knowledge in perceptrons through modification of the learning algorithmJürgen Bode, Xun Liang, Xiping Zhang, Shouju Ren. 807-812 [doi]
• A hybrid neural network approach to the pricing of optionsChristopher Boek, Paul Lajbcygier, Marimuthu Palaniswami, Andrew Flitman. 813-817 [doi]
• Utilization of neural network for constructing a user friendly decision support system to deal stocksNorio Baba, Hisashi Handa. 818-823 [doi]
• Neural logic hybrid system for currency option tradingTong-Seng Quah, Hoon heng Teh, Chew Lim Tan. 824-828 [doi]
• A RPCL-CLP architecture for financial time series forecastingYiu-ming Cheung, Wai-Man Leung, Lei Xu 0001. 829-832 [doi]
• Economic forecasting using neural networksBernd Freisleben, Klaus Ripper. 833-838 [doi]
• Artificial intelligence in financial marketsHenry G. Green, Michael A. Pearson. 839-844 [doi]
• Detection and removal of impulse noise by a neural network guided adaptive median filterHaosong Kong, Ling Guan. 845-849 [doi]
• Nonlinear adaptive digital filters using parallel neural networksJianting Cao, Takashi Yahagi. 850-853 [doi]
• Growing filters for finite impulse response networksM. Diepenhorst, J. A. G. Nijhuis, Rienk S. Venema, Lambert Spaanenburg. 854-859 [doi]
• Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancellingMarc M. Van Hulle. 860-864 [doi]
• On-line learning algorithms for neural networks with IIR synapsesPaolo Campolucci, Francesco Piazza, Aurelio Uncini. 865-870 [doi]
• Data fusion and nonlinear tracking filter implementation using multilayer networksMalur K. Sundareshan, Farid Amoozegar. 871-876 [doi]
• Adaptive neural networks for tariff forecasting and energy managementHerman Wezenberg, Michael B. Dewe. 877-881 [doi]
• An artificial neural network-based expert system for network topological error identificationTian Tian 0001, Minzhe Zhu, Boming Zhang. 882-886 [doi]
• An application of mean field theory to optimal power flowLuonan Chen, Kazuyuki Aihara. 887-892 [doi]
• Power system transient stability analysis by using modified Kohonen networkK. L. Lo, R. J. Y. Tsai. 893-898 [doi]
• Improving recurrent network load forecastingThomas Czernichow, Alain Germond, Bernadette Dorizzi, P. Caire. 899-904 [doi]
• Artificial neural network model for analysis of power system harmonicsW. W. L. Keerthipala, Low Tah Chong, Tham Chong Leong. 905-910 [doi]
• Utilising artificial neural network and repro-modelling in turbulent combustionF. C. Christo, A. R. Masri, E. M. Nebot, Tamás Turányi. 911-916 [doi]
• Towards self organizing cache memories using neural networksOmar Hammami. 917-922 [doi]
• Harmonic detection by using neural networkNarade Pecharanin, Hideo Mitsui, Mototaka Sone. 923-926 [doi]
• Improving learning vector quantization classifier in machine fault diagnosis by adding consistencyPeter W. Tse, D. D. Wang, Derek P. Atherton. 927-931 [doi]
• Typicality in computer mediated discussions-an analysis with neural networksMichael R. Berthold, Fay Sudweeks. 932-936 [doi]
• Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmasFrancesco Carlo Morabito. 937-941 [doi]
• Function evaluation and the cascade-correlation architectureAnthony Adams, Sam Waugh. 942-946 [doi]
• 2D simulations of cortical networks in a neural processor array modelMurray W. Mount, Andrew P. Paplinski. 947-952 [doi]
• A parallel recurrent cascade-correlation neural network with natural connectionist glueIngrid Kirschning, Hideto Tomabechi, Jun-Ichi Aoe. 953-956 [doi]
• A pseudo outer-product based fuzzy neural networkRuowei Zhou, Chai Quek. 957-962 [doi]
• Relevant features selection with radial basis neural networksAnke Meyer-Bäse, Rolf Watzel. 963-967 [doi]
• New classifier with reduced computational complexityEel-Wan Lee, Soo-Ik Chae. 968-973 [doi]
• Minimum /spl alpha/-information strategy for the interpretation of the network behaviors and the improved generalizationRyotaro Kamimura, Shohachiro Nakanishi. 974-978 [doi]
• Simple recurrent networks as generalized hidden Markov models with distributed representationsYasubumi Sakakibara, Mostefa Golea. 979-984 [doi]
• Information maximization for feature detection and pattern classification by autoencodersRyotaro Kamimura, Shohachiro Nakanishi. 985-989 [doi]
• A statistical neural network for high-dimensional vector classificationMichel Verleysen, Jean-Luc Voz, Philippe Thissen, Jean-Didier Legat. 990-994 [doi]
• Nonlinear PCA type approaches for source separation and independent component analysisJuha Karhunen, Liuyue Wang, Ricardo Vigário. 995-1000 [doi]
• A novel global training algorithm and its convergence theorem for fuzzy neural networksLiang-Jie Zhang, Yanda Li, Huimin Chen. 1001-1006 [doi]
• A backpropagation neural network for sales forecastingJ. H. L. Kong, G. P. M. D. Martin. 1007-1011 [doi]
• Forecasting the KLSE index using neural networksJingtao Yao, Hean Lee Poh. 1012-1017 [doi]
• Multivariate FOREX forecasting using artificial neural networksWoon-Seng Gan, Kah Hwa Ng. 1018-1022 [doi]
• Enhancing technical analysis in the forex market using neural networksKeith C. C. Chan, Foo Kean Teong. 1023-1027 [doi]
• Short term prediction of sales in supermarketsFrank M. Thiesing, Ulrich Middelberg, Oliver Vornberger. 1028-1031 [doi]
• An adaptive and modular recurrent neural network based power system load forecasterAlireza Khotanzad, Alireza Abaye, Dominic Maratukulam. 1032-1036 [doi]
• C-NNAP-a parallel processing architecture for binary neural networksJohn V. Kennedy, Jim Austin, Rick Pack, Bruce Cass. 1037-1041 [doi]
• Evaluation of training and mapping Sigma-pi networks to a massively parallel processorRichard Stuart Neville, Ray J. Glover, T. John Stonham. 1042-1047 [doi]
• General mapping of feed-forward neural networks onto an MIMD computerJim Tørresen, Hiroshi Nakashima, Shinji Tomita, Olav Landsverk. 1048-1053 [doi]
• Parallel self-organizing maps for actual applicationsGaute Myklebust, Jon G. Solheim. 1054-1059 [doi]
• Approximation with neural networks: between local and global approximationPatrick van der Smagt, Frans C. A. Groen. 1060-1064 [doi]
• Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and controlJohan A. K. Suykens, Joos Vandewalle. 1065-1069 [doi]
• Theory and applications of sparsely interconnected feedback neural networksAnthony N. Michel, Derong Liu. 1070-1075 [doi]
• On the design and initialization of layered feed-forward neural networksAndrea Maccato, Rui J. P. deFigueiredo. 1076-1079 [doi]
• Intact egg freshness quality inspection using neural networksChaw Koh Yong. 1080-1085 [doi]
• Content-based software classification by self-organizationDieter Merkl. 1086-1091 [doi]
• Neural networks in multidimensional problems: a case study for questionnaire classificationDimitris A. Karras, E. J. Hatzakis, P. E. Tziannos, N. Paritsis. 1092-1097 [doi]
• Artificial neural networks in marine propeller designConstantinos C. Neocleous, Christos N. Schizas. 1098-1102 [doi]
• Hurricane tracking via backpropagation neural networkGregory P. Johnson, Frank C. Lin. 1103-1106 [doi]
• Theoretical considerations on the capabilities of crossbar switching by Hopfield networksSatoshi Matsuda. 1107-1110 [doi]
• A self organizing artificial neural network with problem dependent structureTim Hendtlass. 1111-1115 [doi]
• A growing network that optimizes between undertraining and overtrainingGoutam Chakraborty, Mitsuru Murakami, Norio Shiratori, Shoichi Noguchi. 1116-1120 [doi]
• Maximizing the target-pattern cross-correlation for training time-delay neural networksFabio Lavagetto. 1121-1125 [doi]
• Cascade correlation: derivation of a more numerically stable update ruleGeorge H. John. 1126-1129 [doi]
• Learning and generalization in a coulombian networkJorge Alberto Horas, Pedro Marcelo Pasinetti. 1130-1133 [doi]
• Recurrent perceptron learning algorithm for CNNs with application to edge detectionCüneyt Güzelis, S. Karamahmut. 1134-1139 [doi]
• Three-dimensional pose from two-dimensional images: a novel approach using synergetic networksTrevor Hogg, David Rees, Habib Talhami. 1140-1144 [doi]
• Industrial computer vision using undefined feature extractionPhillip Evans, John Fulcher, Phillip Ogunbona. 1145-1149 [doi]
• A multi-computer neural network applied to machine-visionR. J. Howlett, D. H. Lawrence. 1150-1153 [doi]
• Low contrast object detection using a MLP network designed by node creationDevesh Patel, E. R. Davies. 1155-1159 [doi]
• Compressing higher-order co-occurrences for texture analysis using the self-organizing mapErkki Oja, Kimmo Valkealahti. 1160-1164 [doi]
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• On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classificationAdam Krzyzak, Stan Klasa, Lei Xu 0001. 2243-2246 [doi]
• Fast valving control using radial-basis function neural networkQi Chen, Shaohua Tan, Yingduo Han, Zonghong Wang. 2247-2251 [doi]
• Coactive neuro-fuzzy modelling for colour recipe predictionEiji Mizutani, Jyh-Shing Roger Jang, Kenichi Nishio, Hideyuki Takagi, David M. Anslander. 2252-2257 [doi]
• Computerized tomography with radial basis functions network: a neuro-fuzzy approachH. Tabuchi, T. Miyoshi, H. Ichibashi, Ken Ohno. 2258-2263 [doi]
• A goodness-function for trained fuzzy neural networksThomas Feuring, Wolfram-Manfred Lippe. 2264-2269 [doi]
• Fuzzy aggregation networks of hybrid neurons with generalized Yager operatorsJames M. Keller, Hong Yang. 2270-2274 [doi]
• A method for design of a hybrid neuro-fuzzy control system based on behaviour classificationWei Li, Qunhua Tan. 2275-2280 [doi]
• A hybrid fuzzy-neural control system for management of mean arterial pressure of seriously ill patientsZ. M. Xu, John S. Packer, John F. Cade. 2281-2286 [doi]
• QRS detection using morphological and rhythm informationA. I. Rasiah, Roberto Togneri, Yianni Attikiouzel. 2287-2292 [doi]
• Adaptive neural network filter for visual evoked potential estimationK. S. M. Fung, Francis K. Lam, Francis H. Y. Chan, Paul W. F. Poon, J. G. Lin. 2293-2296 [doi]
• Eye movement model with neural oscillatorsShuichi Ojima, Sumio Yano. 2297-2302 [doi]
• A new technique for the classification and decomposition of EMG signalsChristodoulos I. Christodoulou, Constantinos S. Pattichis. 2303-2308 [doi]
• Identification of fixations in reading eye movements by a multi-layer neural networkFuchuan Sun, Lingyu Chen. 2309-2313 [doi]
• Smart air-conditioning system using multilayer perceptron neural network with a modular approachAng Heng Kah, Quek Yeong San, Sim Chee Guan, Wan Chun Kiat, Yong Chaw Koh. 2314-2319 [doi]
• Adaptive neural network controller for robot manipulator systemsShiu Kit Tso, N. L. Lin. 2320-2325 [doi]
• Intelligent control method using cubic neural network with multi-levels of information abstractionHideki Kidohshi, Kazuo Yoshida, Masaru Kamiya. 2326-2331 [doi]
• Parameter adaption for field-oriented AC-drives using neural networkWilfried Hofmann, Qinglong Liang. 2332-2337 [doi]
• Adaptive learning control of affine nonlinear systems using piecewise linearly trained networksJin-Young Choi, Hyun Joo Park. 2338-2341 [doi]
• Neural networks for optimal control of nonlinear systems with bound constraintsRuo-Li Yang, Cang-Pu Wu. 2342-2347 [doi]
• Classification of plant species from CTFM ultrasonic range data using a neural networkNeil L. Harper, Phillip J. McKerrow. 2348-2352 [doi]
• Neuro-based adaptive internal model control for robot manipulatorsQ. Li, Aun Neow Poo, C. M. Lim, Marcelo H. Ang Jr.. 2353-2357 [doi]
• Self-learning neural control of a mobile robotBarbara Janusz, Martin Riedmiller. 2358-2363 [doi]
• Neural approach to visual servoing for robotic hand eye coordinationDaniel Kuhn, Jean-Luc Buessler, Jean-Philippe Urban. 2364-2369 [doi]
• Inverse kinematic at acceleration level using neural networkAmar Ramdane-Cherif, Véronique Perdereau, Jérôme Morin-Drouin. 2370-2374 [doi]
• An architecture for behaviour coordination learningJoel Hoff, George A. Bekey. 2375-2380 [doi]
• Discrete-time optimal control using continuous neural networksRadoslaw R. Zakrzewski, Ronald R. Mohler. 2381-2385 [doi]
• Using CMAC neural networks and optimal controlJohn Nelson, L. Gordon Kraft. 2386-2390 [doi]
• Tracking improvement for stable robot control using neural networksGang Feng 0001, Marimuthu Palaniswami, Zhixiu Han, Chu Kwong Chak. 2391-2396 [doi]
• Application of neural networks for real time control of a ball-beam systemYuhong Jiang, C. McCorkell, R. B. Zmood. 2397-2402 [doi]
• A robust adaptive sliding mode tracking control using an RBF neural network for robotic manipulatorsZhihong Man, X. H. Yu, Kamran Eshraghian, Marimuthu Palaniswami. 2403-2408 [doi]
• The application of neural networks to anti-skid brake system designSanjay K. Mazumdar, Cheng-Chew Lim. 2409-2414 [doi]
• A comparison of neural networks and statistical methods for track association in over the horizon radarJihan Zhu, Robert E. Bogner, Abdesselam Bouzerdoum, Kenneth J. Pope, Michael L. Southcott. 2415-2420 [doi]
• ART1 : model algorithm characterization and alternative similarity metric for the novelty detectorR. Sadananda, G. R. M. Sudhakara Rao. 2421-2425 [doi]
• The EM algorithm for multiple object recognitionShotaro Akaho. 2426-2431 [doi]
• A simple coding scheme for neural recognition of binary visual patternsJulio Tanomaru, A. Inubushi. 2432-2437 [doi]
• Adaptive averaging in higher order neural networks for invariant pattern recognitionSabine Kröner. 2438-2443 [doi]
• A self-organizing neural network merging Kohonen's and ART modelsAndrea Baraldi, Flavio Parmiggiani. 2444-2449 [doi]
• An optical neural network based on distributed holographic gratings for ATRYuri Owechko, Bernard H. Soffer. 2450-2455 [doi]
• Strategies for visual navigation, target detection and camouflage: inspirations from insect visionMandyam V. Srinivasan. 2456-2460 [doi]
• Selective attention adaptive resonance theory (SAART) neural network for neuro-engineering of robust ATR systemsPeter Lozo. 2461-2466 [doi]
• Computerized tumour boundary detection using a Hopfield neural networkYan Zhu, Hong Yan. 2467-2472 [doi]
• Analysis of pulsed gradient nuclear magnetic resonance experiments using feedforward neural networksA. J. Lennon, Philip W. Kuchel. 2473-2478 [doi]
• Pattern classification of EEG signals using a log-linearized Gaussian mixture neural networkOsamu Fukuda, Toshio Tsuji, Makoto Kaneko. 2479-2484 [doi]
• The selection of weights precision for ballistocardiography classificationXinsheng Yu, Don Dent, Colin Osborn. 2485-2489 [doi]
• Segmentation of magnetic resonance images of the thorax by backpropagationIan Middleton, Robert I. Damper. 2490-2494 [doi]
• Classification of human cognitive processes by the use of an improved neural backpropagation networkDunja Steuer, Bärbel Schack, Gert Grieszbach, Werner Krause. 2495-2500 [doi]
• Neuro-fuzzy hybrid control system of nonlinear process in petroleum plantTetsuji Tani, Tomonari Sasada, Makoto Utashiro, Motohide Umano, Kazuo Tanaka. 2501-2506 [doi]
• Adaptive learning control system based on the designed multilevel stochastic supervisor of an artificial neural networkAmmar Al Khani. 2507-2512 [doi]
• Inverse control of nonlinear systems using neural network observer and inverse mapping approachAleksander Malinowski, Jacek M. Zurada, John H. Lilly. 2513-2518 [doi]
• Design of controller for nonlinear system using dynamic neural unit modelSeong-Wook Park, Bo Hyeok Seo. 2519-2524 [doi]
• Design of controller for nonlinear system using chaotic neural networksSeong-Wook Park, Bo Hyeok Seo. 2525-2529 [doi]
• Harmonic control of a planar complex using limited-path-guidance learningJung-Hua Wang, Hsi Shu Wu, Ru Feng Hsieh. 2530-2535 [doi]
• Extracting contact parameters from tactile data using artificial neural networksSteven Charlton, Pavan Sikka, Hong Zhang 0013. 2536-2540 [doi]
• A neural network model for trajectory formation of a redundant manipulatorManabu Kotani, Shunji Oda, Takashi Miyatake, Tsutomu Umeki, Haruya Matsumoto. 2541-2545 [doi]
• Estimation of environment models using vector field and its application to robot's contact tasksZhi Wei Luo, Koji Ito, Masaki Yamakita. 2546-2549 [doi]
• Real-time control of industrial manipulator vibration using artificial neural networksL. J. Marcham, B. K. N. Rao, S. Noroozi, R. P. Penson. 2550-2554 [doi]
• A connectionist model of human grasps and its application to robot graspingMedhat A. Moussa, Mohamed S. Kamel. 2555-2559 [doi]
• Path planning and redundancy resolution for planar redundant manipulators, using artificial neural networksKubilay K. Aydin. 2560-2565 [doi]
• Control of memory search by matching features with presynaptic inhibitionToshinori Deguchi, Naohiro Ishii. 2566-2571 [doi]
• Capacity of the associative memory using the Boltzmann machine learningTetsuya Kojima, Hidetoshi Nonaka, Tsutomu Da-te. 2572-2577 [doi]
• Preventing local minima by decorrelationChong-Ho Lee. 2578-2582 [doi]
• Study of analogue neural networks that obey Dale's law using mean-field theoryAnthony N. Burkitt. 2583-2586 [doi]
• Classification of chromosomes using higher-order neural networksMahyar Zardoshti-Kermani, Alireza Afshordi. 2587-2591 [doi]
• Optimized constraint satisfaction neural network for medical image segmentationJörg Peter, Thomas Müller, Richard Freyer. 2592-2595 [doi]
• Artificial neural networks facilitate bispectral analysis of electroencephalographic dataRichard C. Watt, Chris Sisemore, Ansel Kanemoto, Kenneth Mylrea. 2596-2599 [doi]
• Unsupervised segmentation of multi-echo MR images with an ART-based neural networkWanqing Li, Yianni Attikouzel. 2600-2604 [doi]
• A neural net architecture for various learning processes on AC skin analysisBao R. Chang. 2605-2609 [doi]
• Unsupervised query-based learning algorithm and its application to Kohonen's self-organizing mapsRay-I Chang, Pei-Yung Hsiao. 2610-2614 [doi]
• An integrated model of visual recognition with contextual dependencyMasumi Ishikawa, Kengo Matsuo. 2615-2619 [doi]
• Object recognition system with perceiving subjective contoursKeiko Ishihara, Shigekazu Ishihara, Mitsuo Nagamachi. 2620-2625 [doi]
• Neural network approach to traveling salesman problem based on hierarchical city adjacencyHiroshi Ninomiya, Kazumichi Sato, Takeshi Nakayama, Hideki Asai. 2626-2631 [doi]
• New approach for solving the travelling salesman problem using self-organizing learningClifford Sze-Tsan Choy, Wan-Chi Siu. 2632-2635 [doi]
• Solving the bipartite subgraph problems using strictly digital neural networks with virtual slack-neuronsKatsuhiko Murakami, Tohru Nakagawa, Hajime Kitagawa. 2636-2641 [doi]
• Convergence analysis of recurrent neural network with self-loops based on eigenvalues of a connection matrixYoshihiro Tomikawa, Kenji Nakayama. 2642-2647 [doi]
• Minimum searching by extended Hopfield modelNobuyuki Matsui, Kouichi Nakabayashi. 2648-2651 [doi]
• Using the Hopfield neural network with mean field annealing to solve the shortest path problem in a communication networkMichael W. Dixon, Graeme R. Cole, Matthew I. Bellgard. 2652-2657 [doi]
• Combinatorial optimization with higher order neural networks-cost oriented competing processes in flexible manufacturing systemsJens Starke, Naoyuki Kubota, Toshio Fukuda. 2658-2663 [doi]
• Identifying chaotic attractors with neural networksTomas Hrycej. 2664-2668 [doi]
• Determination of the LPC coefficients using neural networksIbrahim I. Ibrahim, M. I. El-Adawy. 2669-2673 [doi]
• Signal melding-the construction of training vectors for classifying data seriesC. Lewis. 2674-2678 [doi]
• An artificial neural network to predict river flow rate into a dam for a hydro-power plantKatsuhiro Ichiyanagi, Yasuyuki Goto, K. Mizuno, Y. Yokomizu, T. Matsumura. 2679-2682 [doi]
• Radial basis function network with short term memory for temporal sequence processingBo-Hyeun Wang, Kwang-Bo Cho. 2683-2688 [doi]
• A neural network based time series forecasting systemPaulo Cortez 0001, Miguel Rocha, José Machado 0001, José Neves 0001. 2689-2693 [doi]
• Application of recurrent neural network for short term load forecasting in electric power systemJ. K. Mandal, A. K. Sinha, G. Parthasarathy. 2694-2698 [doi]
• Intelligent mobile robotHidetaka Ito, Tatsumi Furuya, Tetsuo Hagiwara. 2699-2702 [doi]
• Enhancing reliability of a vehicle steering algorithm by combining computer vision and neural visionDoo-Hyun Choi, Se-Young Oh, Kwang Ick Kim. 2703-2708 [doi]
• Development of 3D-input device using adaptive controlHiroshi Yokoi, Juli Yamashita, Yukio Fukui, Makoto Shimojo. 2709-2714 [doi]
• Neural networks for modelling robot forward dynamicsGu Fang, M. W. M. G. Dissanayake. 2715-2719 [doi]
• Symbolic computation-based synthesis of neural network dynamics and controller for robotsIgnacy Duleba, Witold Jacak, Robert Muszynski, Bruno Buchberger. 2720-2725 [doi]
• Regularization of inverse kinematics for redundant manipulators using neural network inversionsBao-Liang Lu, Koji Ito. 2726-2731 [doi]
• Optimization schemes for learning the forward and inverse kinematic equations with neural networkAmar Ramdane-Cherif, Véronique Perdereau, Michel Drouin. 2732-2737 [doi]
• An inverse model learning algorithm using the hierarchical mixtures of expertsSatoshi Yamaguchi, Hidekiyo Itakura, Yoshikazu Nishikawa. 2738-2742 [doi]
• A sparse matrix approach to neural network trainingFang Wang, Q. J. Zhang. 2743-2747 [doi]
• A self adaptive object oriented implementation of an analog ARTMAP neural networkIan J. Taylor, Mike Greenhough. 2748-2752 [doi]
• A quaternary version of the back-propagation algorithmTohru Nitta. 2753-2756 [doi]
• Parallel learning for supervised networks in one dimensional real spaceChidchanok Lursinsap. 2757-2762 [doi]
• LVQ with a weighted objective functionSu Jeong You, Chong-Ho Choi. 2763-2768 [doi]
• Square root learning in batch mode BP for classification problemsMyung-Chan Kim, Chong-Ho Choi. 2769-2774 [doi]
• A new method for initializing reference vectors in LVQNobukatsu Kitajima. 2775-2779 [doi]
• The GLS learning algorithm for multilayer neural networkVladimir Pavlica, Aleksandar Erdeljan. 2780-2783 [doi]
• Self-adaptive learning rates in backpropagation algorithm improve its function approximation performanceUjjwal Bhattacharya, Swapan K. Parui. 2784-2788 [doi]
• Efficient cross-validation for feedforward neural networksJames Tin-Yau Kwok, Dit-Yan Yeung. 2789-2794 [doi]
• Investigation of generalization ability by using noise to enhance MLP performanceYasushi Tsukuda, Hiroaki Kurokawa, Shinsaku Mori. 2795-2798 [doi]
• Estimate the source structure through communicationShiro Ikeda, Kaoru Nakano. 2799-2802 [doi]
• Escape from the speed down areas on training of backpropagation algorithm by using a jumping methodKotaro Yamada, Akira Taguchi, Nobukazu Iijima, Yoshinao Akima, Mototaka Sone. 2803-2806 [doi]
• Solving XOR with a single layered perceptron by supervised self-organization of multiple output labels per classRamesh R. Sarukkai. 2807-2810 [doi]
• Multilayer perceptron training with inaccurate derivative informationJouko Lampinen, Arto Selonen. 2811-2815 [doi]
• An enhanced backpropagation training algorithmLawrence C. Agba, Jerry H. Tucker. 2816-2820 [doi]
• MLP classifiers: overtraining and solutionsZheru Chi. 2821-2824 [doi]
• Efficient strategies for error updating to improve performance backpropagation learningChang Hyun Kwen, Chan-Ho Park, Hyon-Soo Lee. 2825-2830 [doi]
• Self-organising learning of receptive fields in multi-resolutionDa Deng 0001, Kwok Ping Chan, Y.-L. Yu. 2831-2834 [doi]
• Learning rate and outlier analysis of linear learning algorithmsHongfeng Yin, Stan Klasa. 2835-2840 [doi]
• Using an effective Boltzmann machine to learn context dependencies of a sequenceMatthew I. Bellgard, Chi Ping Tsang. 2841-2846 [doi]
• Linear neural network learning algorithm analysisHongfeng Yin, Stan Klasa. 2847-2852 [doi]
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• Speech recognition based on fuzzy vector quantization and fuzzy logicLiusheng Liu, Zhijian Li, Bingxue Shi. 2858-2862 [doi]
• Neural network for syntactic categorisation of wordsNeil Garner, Andy Breen, David M. Howard 0001, Andy M. Tyrrell. 2863-2866 [doi]
• Corrective training of hidden control neural networkKyungMin Na, Soo-Ik Chae, SouGuil Ann. 2867-2870 [doi]
• Parrot-like speaking using optimal vector quantizationRyohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada. 2871-2875 [doi]
• Adaptive spatiotemporal neural network for speech recognitionJung-Hua Wang, Jia-Hon Lin. 2876-2881 [doi]
• Applying neural network to robust keyword spotting in speech recognition applicationHao Ruan, Ravi Sankar. 2882-2886 [doi]
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• Improvements of the modified hypermap architecture for speech recognitionBernd Brückner, T. Wesarg, C. Blumenstein. 2891-2895 [doi]
• Pitch synchronous Fourier transform using neural networksMunehiro Namba, Yoshihisa Ishida. 2896-2899 [doi]
• DP matching-based spoken digit recognition using LVQToshinobu Matsuoka, Yoshihisa Ishida. 2900-2903 [doi]
• Recognition and anticipation of hand motions using a recurrent neural networkPeter Vamplew 0001, Anthony Adams. 2904-2907 [doi]
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• Dynamical Systems Regulation by Neuro-ControllersSigeru Omatu. 2912-2916 [doi]
• MOTION ESTIMATION BY USING A NEUROMIMETIC APPROACHL. Lelaurin, A. Yacoubi, Vincent Devlaminck, Jean-Paul Dubus. 2917-2921 [doi]
• Feature Representation of Motion TrajectoriesX. Thong Nguyen, Abdesselam Bouzerdoum, Robert E. Bogner, Alireza Moini, Kamran Eshraghian. 2922-2927 [doi]
• Interpolation and Learning in Artificial Neural NetworksMartin Anthony. 2928-2932 [doi]
• Correcting Unidirectional Errors with Nonpositive Hopfield NetworksSoura Dasgupta, Yash Shrivastava, Sudhakar M. Reddy. 2933-2938 [doi]
• Learning curves from a modified VC-formalism: a case studyA. Kowalczyk, J. Szymariski, Robert C. Williamson. 2939-2943 [doi]
• Generalisation Analysis for Classes of Continuous Neural NetworksJohn Shawe-Taylor. 2944-2948 [doi]
• Critical Points for Neural Net Least-Squares ProblemsEduardo D. Sontag. 2949-2954 [doi]
• Learning Finite Binary Sequences from Half-Space DataShao C. Fang, Santosh S. Venkatesh. 2955-2959 [doi]
• An Integrated Developmental Connectionist Model of Orthography to Phonology and Orthography to SemanConrad Ferry. 2960-2964 [doi]
• A Neurosymbolic Integrated Model for Semantic Ambiguation ResolutionSamuel W. K. Chan, James Franklin. 2965-2970 [doi]
• Solving Proportional Analogy Problems using Tensor Product Networks with Random RepresentationsWilliam H. Wilson, Deborah J. Street, Graeme S. Halford. 2971-2975 [doi]
• A Visual Cortex Circuit Model for Orientation SpecificityPaul T. Hadingham, Jennifer S. Lund. 2976-2980 [doi]
• Unexplored Frontiers of ComputationAshley M. Aitken. 2981-2986 [doi]
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• Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural NetworksMasahiro Kimura, Ryohei Nakano. 2992-2997 [doi]
• Self-Organizing Feature Maps with Self-Organizing Neighborhood WidthsMichael Herrmann. 2998-3003 [doi]
• Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagationSin Chun Ng, S. H. Leung, Andrew Luk. 3004-3008 [doi]
• Least Mean Square Error Reconstruction Learning in Recurrent NetworkBailing Zhang, Qin Zhou, Irwin King, Lei Xu 0001. 3009-3014 [doi]
• Capacity Bounds for Simple Recurrent NetworksJacques Ludik, Ian Cloete. 3015-3020 [doi]
• Neural Networks with Missing Values AttributesCarlos Eduardo Pedreira, Eduardo Parente Ribeiro. 3021-3023 [doi]
• Controlling A Chaotic Neural UnitIk Soo Lim, Timothy Poston. 3024-3027 [doi]
• Periodic Chaos Neural NetworkMasahiro Nakagawa. 3028-3033 [doi]
• Hyperchaos from a hysteresis neural networkTakahiko Nakamura, Toshimichi Saito, Kenya Jin'no. 3034-3037 [doi]
• Controlling Chaos in Chaotic Neural NetworksShin Mizutani, Takuya Sano, Tadasu Uchiyama, Noboru Sonehara. 3038-3043 [doi]
• Intrinsic Oscillations of Neural NetworksHoward Hua Yang. 3044-3047 [doi]
• Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural NetworksRadu Dogaru, A. T. Murgan. 3048-3052 [doi]
• Multi-Dimensional Density Shaping by Sigmoidal NetworksYoram Baram, Ze'ew Roth. 3053-3056 [doi]
• A neural network for model order selection in signal processingPascale Costa-Hirschauer, Joël Grouffaud, Pascal Larzabal, Henri Clergeot. 3057-3061 [doi]
• Arbitrary distance function estimation using vector quantizationB. John Oommen, I. Kuban Altinel, Necati Aras. 3062-3067 [doi]
• The tracking of changes in chemical processes using computer vision and self-organizing mapsJannie S. J. Van Deventer, Chris Aldrich, Derick W. Moolman. 3068-3073 [doi]
• Combined SOM and LVQ based classifiers for handwritten digit recognitionJing Wu, Hong Yan 0001. 3074-3077 [doi]
• Fitting elastic maps to recognize handwritten digitsJoo-Hwee Lim, Hoon heng Teh, Ho-Chung Lui, Pei-Zhuang Wang. 3078-3082 [doi]
• Off-line Chinese handwriting recognition using multi-stage neural network architectureLianwen Jin, Kwokping Chan, Bingzheng Xu. 3083-3088 [doi]
• A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanismNaotake Natori, Kazuo Nishimura. 3089-3094 [doi]
• Recognition of handwritten connected numerals based on dual cooperative neural networkSukhan Lee, Thanarat Horprasert. 3095-3100 [doi]
• Recognition-based segmentation of on-line cursive Korean charactersKeechul Jung, Sang-Kyoon Kim, Hang Joon Kim. 3101-3106 [doi]
• Case-based diagnostic system using fuzzy neural networkZhi-Qiang Liu, Francis Yan. 3107-3112 [doi]
• Implementation of fuzzy max-min neural controllerYoichi Hayashi, James J. Buckley. 3113-3117 [doi]
• Classification of fuzzy input patterns by neural networksHisao Ishibuchi, Kouichi Morioka. 3118-3123 [doi]
• Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networksTakumi Ichimura, Eiichiro Tazaki. 3124-3128 [doi]
• Fuzzy perceptron learning and its application to classifiers with numerical data and linguistic knowledgeJia-Lin Chen, Jyh-Yeong Chang. 3129-3133 [doi]
• Nonlinear prediction on squid axon responseTohru Ikeguchi, Kazuyuki Aihara. 3134-3139 [doi]
• Solving combinatorial optimization problems by nonlinear neural dynamicsMikio Hasegawa, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara. 3140-3145 [doi]
• Switched-current chaotic neural network with chaotic simulated annealingNobuo Kanou, Yoshihiko Horio. 3146-3149 [doi]
• Spatio-temporal summation and self-organization in chaotic neural networksMasataka Watanabe, Kazuyuki Aihara, Shunsuke Kondo. 3150-3153 [doi]
• Generalized inverse computations using two-layer feedforward neural networks with pruningYongfeng Miao, Yingbo Hua. 3154-3158 [doi]
• An incremental learning method with recalling interfered patternsKoichiro Yamauchi 0001, Naohiro Ishii. 3159-3164 [doi]
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• A study on the bursting firing phenomena in neural network with the hardware neuron modelKazutaka Someya, Eiko Miyata, Yoshifumi Sekine. 3186-3191 [doi]
• Stability analysis of neural networks via Lyapunov approachKazuo Tanaka. 3192-3197 [doi]
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