Table of Contents

• Self-Organizing Maps of Massive Document CollectionsTeuvo Kohonen. 3-12 [doi]
• A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of StatesYiu-ming Cheung, Lei Xu. 3-8 [doi]
• ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data StreamsDa Deng, Nikola K. Kasabov. 3-8 [doi]
• Bi-Causal Recurrent Cascade CorrelationAlessio Micheli, Diego Sona, Alessandro Sperduti. 3-8 [doi]
• Fuzzy Neural Network with Relational Fuzzy RulesAdam E. Gaweda, Jacek M. Zurada. 3-7 [doi]
• Optimization of Hierarchical Neural Fuzzy ModelsRicardo J. G. B. Campello, Wagner Caradori do Amaral. 8-13 [doi]
• EM Algorithms for Self-Organizing MapsTom Heskes, Jan-Joost Spanjers, Wim Wiegerinck. 9-14 [doi]
• Bias Learning, Knowledge SharingJoumana Ghosn, Yoshua Bengio. 9-14 [doi]
• Parameter Specification for Fuzzy Clustering by Q-LearningChi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi. 9-12 [doi]
• Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous TrajectoriesPablo Zegers, Malur K. Sundareshan. 9-14 [doi]
• A Model-Based Distance for ClusteringMagnus Rattray. 13-16 [doi]
• Stochastic Resonance Neural Network and Its PerformanceTatsuhiko Nobori, Nobuyuki Matsui. 13-17 [doi]
• A Self-Organizing Neural Fuzzy Inference NetworkGiovanna Castellano, Anna Maria Fanelli. 14-19 [doi]
• Improved Learning of Multiple Continuous Trajectories with Initial Network StateMiroslaw Galicki, Lutz Leistritz, Herbert Witte. 15-20 [doi]
• The Growing Hierarchical Self-Organizing MapMichael Dittenbach, Dieter Merkl, Andreas Rauber. 15-19 [doi]
• Incremental Active Learning with Bias ReductionMasashi Sugiyama, Hidemitsu Ogawa. 15-20 [doi]
• Clustering Exploratory Activity in an Elevated Plus-Maze with Neural NetworksAndré S. Henriques, Aluizio F. R. Araújo, Silvio Morato. 17-22 [doi]
• Bayesian Field Theory: Nonparametric Approaches to Density EstimationJörg C. Lemm. 18-22 [doi]
• Context Quantization and Contextual Self-Organizing MapsThomas Voegtlin. 20-25 [doi]
• Development and Convergence Analysis of Training Algorithms with Local Learning Rate AdaptationGeorge D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis. 21-26 [doi]
• Weight Groupings in the Training of Recurrent NetworksLai-Wan Chan, Chi-Cheong Szeto. 21-26 [doi]
• Large Margin Classifier via Semiparametric InferenceKoji Tsuda, Shotaro Akaho. 23-28 [doi]
• On Learning Mean Values in Hopfield Associative Memories Trained with Noisy Examples Using the Hebb RuleBruno Cernuschi-Frías, Enrique Carlos Segura. 23-30 [doi]
• Self-Organization in the SOM and Lebesque Continuity of the Input DistributionJohn A. Flanagan. 26-34 [doi]
• Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor AlgorithmMarco Muselli. 27-34 [doi]
• A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural NetworksRomuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville. 27-34 [doi]
• Parallel Non Linear DichotomizersFrancesco Masulli, Giorgio Valentini. 29-36 [doi]
• Extending Chaos and Complexity Theory to Address Life, Brain and Quantum FoundationsPaul J. Werbos. 31-36 [doi]
• Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the BrainsRobert Kozma, Walter J. Freeman. 33-38 [doi]
• Classification of Incomplete Data Using the Fuzzy ARTMAP Neural NetworkEric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie. 35-40 [doi]
• Category Theory Applied to Neural Modeling and Graphical RepresentationsMichael J. Healy. 35-40 [doi]
• A General Framework for the Functions of the BrainJohn G. Taylor. 35-40 [doi]
• Noisy Chaotic Neural Networks for Solving Combinatorial Optimization ProblemsLipo Wang, Fuyu Tian. 37-40 [doi]
• Pattern Recognition with Eye Movement: A Neural Network ModelMasayuki Kikuchi, Kunihiko Fukushima. 37-40 [doi]
• Neuron Weight Dynamics in the SOM and Self-Organized CriticalityJohn A. Flanagan. 39-44 [doi]
• Realtime Visualization of the Learning Processes in the LAPART Neural Architecture as it Controls a Simulated Autonomous VehicleKim M. Edlund, Thomas P. Caudell. 41-46 [doi]
• A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile AgentJean-Paul Banquet, Yves Burnod, Philippe Gaussier, Arnaud Revel. 41-48 [doi]
• The Frontal Lobes and Executive FunctionJohn G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine. 41-46 [doi]
• Neural Computations by Networks of OscillatorsFrank C. Hoppensteadt, Eugene M. Izhikevich. 41-46 [doi]
• Hierarchical ARTMAPStephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy. 41-46 [doi]
• Basic Dynamics from a Pulse-Coupled Network of Autonomous Integrate-and-Fire Chaotic CircuitsHidehiro Nakano, Toshimichi Saito. 45-49 [doi]
• MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAPEduardo Gómez-Sánchez, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado. 47-52 [doi]
• The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional DataA. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa. 47-52 [doi]
• A Modular Neural System for Machine CognitionPentti O. A. Haikonen. 47-52 [doi]
• Circuit Realization of a Programmable Neuron Transfer Function and Its DerivativeChun Lu, Bingxue Shi. 47-50 [doi]
• A Full-Parallel Digital Implementation for Pre-Trained NNsTamás Szabó, Lörinc Antoni, Gábor Horváth, Béla Fehér. 49-54 [doi]
• Synaptic Depression in Associative Memory NetworksDmitri Bibitchkov, J. Michael Herrmann, Theo Geisel. 50-58 [doi]
• NESP2: a Low Power Analog NEural Signal Processor with Analog Weight StorageMario Costa, Davide Palmisano, Eros Pasero. 51-56 [doi]
• Model Structure Selection for Nonlinear System Identification Using Feedforward Neural NetworksIvan Petrovic, Mato Baotic, Nedjeljko Peric. 53-57 [doi]
• Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domesticaKaren G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya. 53-60 [doi]
• FPGA Architecture Comparison for Non-Conventional Signal ProcessingDenis Teixeira Franco, Luigi Carro. 55-58 [doi]
• A Programmable Neural-Fuzzy Processor for Handwritten Digit ClassificationGuoxing Li, Bingxue Shi. 57-61 [doi]
• A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer FunctionM. Pinzolas, J. J. Ibarrola, J. López. 58-63 [doi]
• Building a 2D-Compatible Multilayer Neural NetworkBernard Girau. 59-64 [doi]
• Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental LearningGeorgios C. Anagnostopoulos, Michael Georgiopoulos. 59-66 [doi]
• New Directions in ACDs: Keys to Intelligent Control and Understanding the BrainPaul J. Werbos. 61-66 [doi]
• A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data InversionSimone Fiori, Pietro Burrascano. 65-70 [doi]
• Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital CircuitYuzo Hirai, Kuninori Nishizawa. 65-70 [doi]
• An On-Chip Learning Neural NetworkGian Marco Bo, Daniele D. Caviglia, Maurizio Valle. 66-74 [doi]
• Robust Adaptive Critic Based Neurocontrollers for Systems with Input UncertaintiesZhongwu Huang, S. N. Balakrishnan. 67-72 [doi]
• Approximation of Hammerstein/Wiener Dynamic ModelsAldo Balestrino, Andrea Caiti. 70-74 [doi]
• Hierarchical Rule Based Classification of MFL Signals Obtained from Natural Gas Pipeline InspectionJun-Youl Lee, Muhammad Afzal, Satish Udpa, Lalita Udpa, Peter Massopus. 71-78 [doi]
• Pulse Mode Multilayer Neural Network with Floating Point Operation and On-Chip LearningHiroomi Hikawa. 71-80 [doi]
• Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle VehicleGeorge G. Lendaris, Larry Schultz, Thaddeus T. Shannon. 73-78 [doi]
• Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case StudyWalter Maydl, Bernhard Sick. 73-80 [doi]
• Independent Component Analysis Using Time Delayed SamplingMichifumi Yoshioka, Sigeru Omatu. 75-78 [doi]
• Modeling Unstable Behavior of a Natural Circulation Loop with a Neural NetworkA. Fichera, Giovanni Muscato, Maria Gabriella Xibilia, A. Pagano. 75-84 [doi]
• Probabilistic Neural Network Models for Sequential DataYoshua Bengio. 79-84 [doi]
• The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form SolutionDonald C. Wunsch. 79-84 [doi]
• A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech RecognitionRhee Man Kil, Young Ik Kim, Geon Hyoung Lee. 81-86 [doi]
• A Theory of the Brain: There Are Parts of the Brain That Control Other PartsAsim Roy. 81-86 [doi]
• Hybrid HMM-NN Architectures for Connected Digit RecognitionPiero Cosi. 85-90 [doi]
• Classification of Helical StructuresSameer Singh. 85-89 [doi]
• Improving the Generalization Capability of the Binary CMACTamás Szabó, Gábor Horváth. 85-90 [doi]
• A General Framework for Symbol and Rule Extraction in Neural NetworksBruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk. 87-92 [doi]
• Speaker Adaptation based on Judge Network with Small Adaptation WordsJae-Hoon Jeong, Soo-Young Lee. 87-90 [doi]
• Boundary Region Sensitive Classification for the Counterpropagation Neural NetworkLászló Kovács, Gábor Terstyánszky. 90-94 [doi]
• A Recruiting Neural-Gas for Function ApproximationMichaël Aupetit, Pierre Couturier, Pierre Massotte. 91-96 [doi]
• On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS SystemWinfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni. 93-98 [doi]
• Focus of Attention in a Neural Network Using Meta KnowledgeDonna L. Hudson, Maurice E. Cohen. 95-99 [doi]
• Universal Learning Networks with Branch ControlKotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi. 97-102 [doi]
• The Regularized SNN-TA Model for Recognition of Noisy SpeechEdmondo Trentin, Marco Matassoni. 97-102 [doi]
• Text Independent Speaker Verification Using Modular Neural NetworkIg-Tae Um, Jong-Jin Won, Moon-Hyun Kim. 97-104 [doi]
• Quality Assured Efficient Engineering of Feedforward Neural Networks with Supervised Learning (QUEEN) Evaluated with the Pima Indians Diabetes Database Thomas Waschulzik, Wilfried Brauer, T. Castedello, Bob Henery. 97-102 [doi]
• Constructing Symbols as Manipulable Structures by Recurrent NetworksJohn G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas. 99-104 [doi]
• Learning Heterogeneous Functions from Sparse and Non-Uniform SampleDragoljub Pokrajac, Zoran Obradovic. 103-108 [doi]
• CSELT Hybrid HMM/Neural Networks Technology for Continuous Speech RecognitionRoberto Gemello, Dario Albesano, Franco Mana. 103-110 [doi]
• A Clustering Method of Chromosome Fluorescence Profiles Using Modified Self Organizing Map Controlled by Simulated AnnealingHiroshi Douzono, Shigeomi Hara, Yoshio Noguchi. 103-106 [doi]
• Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement LearnersRon Sun. 105-112 [doi]
• A Reconfigurable Neural Environment on Active NetworksAntonio Chella, D. Guarino, Giuseppe Di Fatta, G. Favarò, Giuseppe Lo Re. 105-108 [doi]
• The K-Winner Machine ModelSandro Ridella, Stefano Rovetta, Rodolfo Zunino. 106-113 [doi]
• Neural Network in Fast Simulation ModelingEnjie Liu, Laurie G. Cuthbert, John A. Schormans, Gary Stoneley. 109-113 [doi]
• Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location MeasuresNicolino J. Pizzi, Witold Pedrycz. 109-114 [doi]
• Utilization of Neural Networks & GAs for Constructing Reliable Decision Support Systems to Deal StocksNorio Baba, Naoyuki Inoue, Hiroyuki Asakawa. 111-116 [doi]
• The Inefficiency of Batch Training for Large Training SetsD. Randall Wilson, Tony R. Martinez. 113-117 [doi]
• Identifying Health Inequalities Using Artificial Neural Networks (WHO Data)Zheng Rong Yang, Robert G. Harrison, Weiping Lu. 113-118 [doi]
• Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video SourcesAnastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias. 114-119 [doi]
• Overfitting and Neural Networks: Conjugate Gradient and BackpropagationSteve Lawrence, C. Lee Giles. 114-119 [doi]
• Analysis of Fluctuation-Induced Firing in the Presence of InhibitionChris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann. 115-120 [doi]
• Towards an Artificial Technical Analysis of Financial MarketsMarina Resta. 117-122 [doi]
• Tree-Structured Neural Networks: Efficient Evaluation of Higher-Order Derivatives and IntegralsAlois P. Heinz. 118-122 [doi]
• Intelligent Call Transfer Based on Reinforcement LearningDragan Jevtic, Denis Sablic. 120-126 [doi]
• Overlapped Multi-Neural-Network: A Case StudyJinglu Hu, Kotaro Hirasawa. 120-125 [doi]
• Neurophysiology of a VLSI Spiking Neural Network: LANN21Stefano Fusi, Paolo Del Giudice, Daniel J. Amit. 121-126 [doi]
• Backpropagation Algorithm for Logic Oriented Neural NetworksTakeshi Kamio, Shinichiro Tanaka, Mititada Morisue. 123-128 [doi]
• Active Forgetting in Machine Learning and its Application to Financial ProblemsHirotaka Nakayama, Kengo Yoshii. 123-128 [doi]
• Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward NetworksNikolaos Ampazis, Stavros J. Perantonis. 126-131 [doi]
• The Separability of Visual Sensitivity into Spatial Frequency and Motion Velocity Based on Properties of Natural ImagesDawei W. Dong. 127-132 [doi]
• On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh NeuronsMarifi Güler, Cem Ergün. 127-134 [doi]
• Control of Chaotic Behavior with ANNAlicia D Anjou, Francisco Javier Torrealdea, C. Sarasola. 127-130 [doi]
• A Hyperbolic Multilayer PerceptronSven Buchholz, Gerald Sommer. 129-136 [doi]
• Nonstationarity and Data Preprocessing for Neural Network Predictions of an Economic Time SeriesFrancesco Virili, Bernd Freisleben. 129-136 [doi]
• Increased Robustness in Visual Processing with SOM-Based FilteringElsa Fernandez, Imanol Echave, Manuel Graña. 131-134 [doi]
• Global Optimization Algorithms for Training Product Unit Neural NetworksA. Ismail, Andries Petrus Engelbrecht. 132-137 [doi]
• Camera-Based Gesture Recognition for Robot ControlAndrea Corradini, Horst-Michael Gross. 133-138 [doi]
• Recognition of Occluded Patterns: A Neural Network ModelKunihiko Fukushima. 135-138 [doi]
• Robust Visual Recognition with High-Order Gaussian Synapses NetworksJosé Luis Crespo, José Santos Reyes, Richard J. Duro. 135-139 [doi]
• Learning Fine Positioning of a Robot Manipulator Based on Gabor WaveletsJörg A. Walter, Bert Arnrich, Christian Scheering. 137-142 [doi]
• Spreading Associative Neural Network Recognizes the Shape and Position of an Object SimultaneouslyKiyomi Nakamura, Noriki Kinoshita, Hirokazu Kanayama, Takashi Minami. 137-142 [doi]
• Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian UpdatesStavros J. Perantonis, Nikolaos Ampazis, S. Spirou. 138-145 [doi]
• Parametrized SOMs for Hand Posture ReconstructionClaudia Nölker, Helge Ritter. 139-144 [doi]
• Natural Object Classification Using Artificial Neural NetworksSameer Singh, Markos Markou, John F. Haddon. 139-144 [doi]
• Morphological Neural Networks for Robust Visual Processing in Mobile RoboticsBogdan Raducanu, Manuel Graña. 140-143 [doi]
• Improving Hallway Navigation in Mobile Robots with Sensor HabituationCarolina Chang. 143-147 [doi]
• Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro CurrencyFumiaki Takeda, Toshihiro Nishikage. 143-147 [doi]
• Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile RobotsFrancisco Bellas, J. A. Becerra, José Santos Reyes, Richard J. Duro. 144-152 [doi]
• Classification of the Italian Liras Using the LVQ MethodToshihisa Kosaka, Sigeru Omatu. 145-148 [doi]
• Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging SystemsAkira Hirose, Katsuhiko Hiramatsu. 146-151 [doi]
• A Neural Network Approach to Hyphenating NorwegianTerje Kristensen. 148-153 [doi]
• Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine TransformsZhengjun Pan, Alistair G. Rust, Hamid Bolouri. 149-154 [doi]
• Segmentation of Partially Occluded Objects by Local ClassificationGunther Heidemann, Dirk Lücke, Helge Ritter. 152-157 [doi]
• Long Distance Telerobotics in Hostile EnvironmentBruno Apolloni, Adrian Moise. 152-160 [doi]
• The Basic Diffusion Model Neuron Cannot LearnAndrzej Pacut. 153-158 [doi]
• Structure Formation in Visual Cortex Based on a Curved Feature SpaceNorbert Michael Mayer, J. Michael Herrmann, Theo Geisel. 153-158 [doi]
• Improved Rotational Invariance for Statistical Inverse in Electrical Impedance TomographyJani Lahtinen, Tomas Martinsen, Jouko Lampinen. 154-158 [doi]
• Unsupervised Learning of Neural Network Ensembles for Image ClassificationGiorgio Giacinto, Fabio Roli, Giorgio Fumera. 155-162 [doi]
• Assessing Self-Organization Using Order MetricsArnulfo P. Azcarraga. 159-164 [doi]
• Emergence of Learning: An Approach to Coping with NP-Complete Problems in LearningBao-Liang Lu, Michinori Ichikawa. 159-164 [doi]
• Pattern Matching in High Energy Physics by Using Neural Network and Genetic AlgorithmMarcello Castellano, Giuseppe Mastronardi, Vitoantonio Bevilacqua, E. Nappi. 159 [doi]
• Training Neural Networks with Threshold Activation Functions and Constrained Integer WeightsVassilis P. Plagianakos, Michael N. Vrahatis. 161-166 [doi]
• Optimizing Ship Length Estimates from ISAR ImagesFrank E. McFadden, Scott A. Musman. 163-168 [doi]
• On-Line EM Reinforcement LearningJunichiro Yoshimoto, Shin Ishii, Masa-aki Sato. 163-168 [doi]
• Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing MapsGabriela Guimarães. 165-170 [doi]
• VC Dimension Bounds for Product Unit NetworksMichael Schmitt. 165-170 [doi]
• Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-DesignThomas Villmann, R. Haupt, Klaus Hering. 167-172 [doi]
• Image-Compression for Wireless World Wide Web Browsing: A Neural Network ApproachNatalija Vlajic, Thomas Kunz, Howard C. Card. 169-176 [doi]
• Competing Hidden Markov Models on the Self-Organizing MapPanu Somervuo. 169-174 [doi]
• Adding a Healing Mechanism in the Self-Organizing Feature Map AlgorithmMu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang. 171-176 [doi]
• parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data AnalysisAndreas Rauber, Philipp Tomsich, Dieter Merkl. 177-184 [doi]
• Towards Understanding Images of the MindJohn G. Taylor. 177-184 [doi]
• Generalization Performance of Multiclass Discriminant ModelsHélène Paugam-Moisy, André Elisseeff, Yann Guermeur. 177-182 [doi]
• Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SAYasue Mitsukura, Minoru Fukumi, Norio Akamatsu. 178-186 [doi]
• Effective Learning in Noisy Environment Using Neural Network EnsemblePitoyo Hartono, Shuji Hashimoto. 179-184 [doi]
• A New Multi-Class SVM Based on a Uniform Convergence ResultYann Guermeur, André Elisseeff, Hélène Paugam-Moisy. 183-188 [doi]
• Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward ArchitecturesFrancesco Diotalevi, Maurizio Valle, Daniele D. Caviglia. 185-190 [doi]
• Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning LightningAndré Nunes De Souza, Ivan Nunes da Silva, Mário Eduardo Bordon. 185-190 [doi]
• A Weight Evolution Algorithm with Deterministic PerturbationSin Chun Ng, Shu Hung Leung, Andrew Luk. 185-190 [doi]
• A Neural Support Vector Network Architecture with Adaptive KernelsPascal Vincent, Yoshua Bengio. 187-192 [doi]
• Recurrent Nets that Time and CountFelix A. Gers, Jürgen Schmidhuber. 189-194 [doi]
• People Recognition and Pose Estimation in Image SequencesChikahito Nakajima, Massimiliano Pontil, Tomaso Poggio. 189-196 [doi]
• Analyzing Learning Dynamics: How to Average?Christian Goerick. 191-198 [doi]
• Soft Computing Techniques for Modeling Geophysical DataGiuseppe Nunnari, Libero Bertucco. 191-196 [doi]
• On the Properties of Time Trajectories Learned by the Cerebellar CortexA. Garenne, Pierre Chauvet, Gilbert A. Chauvet. 195-200 [doi]
• Unfaithful Population DecodingSi Wu, Danmei Chen, Shun-ichi Amari. 199-204 [doi]
• Choosing in Support Vector Regression with Different Noise Models: Theory and ExperimentsAthanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola. 199-204 [doi]
• Short Term Memory Phenomena in an Autosynaptic NeuronAlberto Herrera, José Luis Pérez, Rafael Prieto, Alejandro Padrón. 201-206 [doi]
• A 1.5V VLSI Circuit for the Co-Channel Signal SeparationTertulien Ndjountche, Rolf Unbehauen, Fa-Long Luo. 202-207 [doi]
• Selective Information Acquisition with Application to Pattern ClassificationRyotaro Kamimura. 203-210 [doi]
• Using Neural Networks for Estimation of Aquifer Dynamical BehaviorIvan Nunes da Silva, Nilton J. Saggioro, Jose A. Cagnon. 203-207 [doi]
• Support Vector Machines Based on a Semantic Kernel for Text CategorizationGeorges Siolas, Florence d Alché-Buc. 205-209 [doi]
• The Hidden Layer Associative Memory Model of HippocampusWinfried A. Fellenz, John G. Taylor. 205-210 [doi]
• Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural NetworkGuilherme De A. Barreto, Aluizio F. R. Araújo. 207-212 [doi]
• A 2D Neuromorphic VLSI Architecture for Modeling Selective AttentionGiacomo Indiveri. 208-213 [doi]
• Fast Training of Support Vector Machines for RegressionDavide Anguita, Andrea Boni, Stefano Pace. 210-216 [doi]
• Frequency-Based Error Back-Propagation in a Cortical NetworkRafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier. 211-216 [doi]
• Trading Off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian TaskBram Bakker, Gwendid T. van der Voort van der Kleij. 213-220 [doi]
• Compact VLSI Neural Network Circuit with High-Capacity Dynamic SynapsesYoondong Park, Jim-Shih Liaw, Theodore W. Berger, Bing J. Sheu. 214-218 [doi]
• A Study on Spatial and Temporal Visual Simulation of Nerve Excitement PropagationKazuro Shimokawa, Shigeru Muraki. 217-221 [doi]
• Is There More to TSSG than Associative Chaining (Chunking and All That)?Neill R. Taylor, John G. Taylor. 217-224 [doi]
• Using Neural Networks for Fault DiagnosisJia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shifu Chen. 217-220 [doi]
• A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion ProcessVolker Stephan, Klaus Debes, Horst-Michael Gross, F. Wintrich, H. Wintrich. 217-222 [doi]
• A VLSI Architecture for Weight Perturbation on Chip Learning ImplementationFrancesco Diotalevi, Maurizio Valle, Gian Marco Bo, Daniele D. Caviglia. 219-226 [doi]
• RNN Based Photo-Resist Shape Reconstruction from Scanning Electron MicroscopyErol Gelenbe, Rong Wang. 221-226 [doi]
• On-Line Learning Control by Association and ReinforcementJennie Si, Yu-Tsung Wang. 221-226 [doi]
• Network Capacity for Latent Attractor ComputationSimona Doboli, Ali A. Minai. 222-227 [doi]
• Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault DiagnosisAmanda J. C. Sharkey, Gopinath Odayammadath Chandroth, Noel E. Sharkey. 223-228 [doi]
• Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation StyleHiroshi Wakuya, Jacek M. Zurada. 225-230 [doi]
• RBFNN-Based Hole Identification System in Conducting PlatesG. Simone, Francesco Carlo Morabito. 227-232 [doi]
• Surface-Tracing Approximation by Basis Functions and Its Application to Neural NetworksYoshifusa Ito. 227-231 [doi]
• An Estimate of the Number of Samples to Convergence for Critic AlgorithmsTomas Hrycej. 227-232 [doi]
• Orientation Map: A Reaction-Diffusion Based ModelBasabi Bhaumik, Chota M. Markan. 228-233 [doi]
• Neuro-Fuzzy Approaches to Short-Term Electrical Load ForecastingWitold Bartkiewicz. 229-234 [doi]
• Predicting Chaotic Time Series by Ensemble Self-Generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. 231-236 [doi]
• Simultaneous Approximation with Neural NetworksAjit T. Dingankar, Dhananjay S. Phatak. 232-237 [doi]
• A Neural Network Approach to the Inspection of Ball Grid Array Solder Joints on Printed Circuit BoardsKuk Won Ko, Young Jun Roh, Hyung Suck Cho, Hyung Cheol Kim. 233-238 [doi]
• Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a TurbogeneratorGanesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch II. 233-240 [doi]
• A Gustatory Information-Processing Model for the Evaluation of Taste PreferenceToshitaka Sugimoto, Akira Iwata, Koji Oguri. 234-241 [doi]
• Uncertainty of the Short-Term Electrical Load Forecasting in UtilitiesWitold Bartkiewicz, Zbigniew Gontar, Jerzy S. Zielinski, Witold Bardzki. 235-240 [doi]
• Input Window Size and Neural Network PredictorsRay J. Frank, Neil Davey, S. P. Hunt. 237-242 [doi]
• A Probabilistic RBF Network for ClassificationMichalis K. Titsias, Aristidis Likas. 238-243 [doi]
• On Line Monitoring of Weld Defects for Short-Circuit Gas Metal Arc Welding Based on the Self-Organize Feature Map Neural NetworksLi Di, Song Yonglun, Ye Feng. 239-246 [doi]
• Gaussian Process Regression: Active Data Selection and Test Point RejectionSambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer. 241-246 [doi]
• On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in SignalsCraig L. Fancourt, Jose C. Principe. 243-252 [doi]
• Sensitivity Analysis for Conic Section Function Neural NetworksLale Özyilmaz, Tülay Yildirim. 244-252 [doi]
• Capture Inter-Speaker Information with a Neural Network for Speaker IdentificationLan Wang, Ke Chen, Huisheng Chi. 247-252 [doi]
• Neural Network Based on QBP and Its PerformanceNobuyuki Matsui, Noriaki Kouda, Haruhiko Nishimura. 247-252 [doi]
• Stability and Performance Robustness Issues in Neural Network Feedback LinearizationDragan Obradovic. 248-253 [doi]
• Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural NetworkMasaru Teranishi, Sigeru Omatu, Toshihisa Kosaka. 249-252 [doi]
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• An Extended RTRL Training Algorithm Using Hessian MatrixPedro Henrique Gouvea Coelho. 563-568 [doi]
• Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction SystemNorio Baba, Hidetsugu Suto. 565-570 [doi]
• The Parameter to Characterize Chaotic DynamicsMaide Bucolo, Luigi Fortuna, Alessandro Rizzo, A. Bonasera. 565-572 [doi]
• Multistep Sequential Exploration of Growing Bayesian Classification ModelsGerhard Paass, Jörg Kindermann. 566-574 [doi]
• A General Approach to Gradient Based Learning in Multirate Systems and Neural NetworksF. Rosati, Paolo Campolucci, Francesco Piazza. 569-576 [doi]
• Supervised Scaled Regression Clustering: An Alternative to Neural NetworksMark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert. 571-576 [doi]
• Adaptive Learning Rule for Binary Couplings NetworksNorman Hendrich. 573-578 [doi]
• Parallel Clustering on a Commodity SupercomputerGiuseppe Patanè, Marco Russo. 575-580 [doi]
• Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural NetworksAlex Aussem. 577-582 [doi]
• Exploiting the Selfish Gene Algorithm for Evolving Cellular AutomataFulvio Corno, Matteo Sonza Reorda, Giovanni Squillero. 577-584 [doi]
• Knowledge Processing System Using Improved Chaotic Associative MemoryYuko Osana, Masafumi Hagiwara. 579-584 [doi]
• Automatic Category Generation for Text Documents by Self-Organizing MapsHsin-Chang Yang, Chung-Hong Lee. 581-586 [doi]
• Estimation of the Training Efficiency of Recurrent Neural NetworksPu Sun, Kenneth A. Marko. 583-588 [doi]
• Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network EvolutionMd. Monirul Islam, Hirotaka Akita, Kazuyuki Murase, M. Shahjahan. 585-590 [doi]
• RAAM for Infinite Context-Free LanguagesOfer Melnik, Simon D. Levy, Jordan B. Pollack. 585-590 [doi]
• A SOM Based Cluster Visualization and Its Application for False ColoringJohan Himberg. 587-592 [doi]
• Recurrent Neural Network Model of a Fed-Batch Saccharomyces Cerevisiae Fermentation ProcessJosefina Barrera-Cortés, Ieroham S. Baruch. 589-596 [doi]
• An Evaluation of Standard Retrieval Algorithms and a Weightless Neural ApproachVictoria J. Hodge, Jim Austin. 591-596 [doi]
• Evolving Neural Network Structures Using Axonal Growth MechanismsPeter Eggenberger. 591-595 [doi]
• The Role of Weight Domain in Evolutionary Design of Multilayer PerceptronsMaciej Grzenda, Bohdan Macukow. 596-599 [doi]
• Small-World Model of Associative MemoryJason W. Bohland, Ali A. Minai. 597-604 [doi]
• Dynamics of the Generalized Lotto-Type Competitive LearningAndrew Luk, Sandra Lien. 597-601 [doi]
• Adaptive RBF Classifier for Object Recognition in Image SequencesPeter Pachowicz, Sung Wook Baik. 600-605 [doi]
• Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF NetworkNanning Zheng, Zhihua Zhang, Haibing Zheng, Shi Gang. 601-607 [doi]
• Self-Creating and Organizing Neural Networks with Weight DuplicationMasahiro Iwasaki, Shigeru Okuma, Tomonori Hashiyama. 602-607 [doi]
• Recurrent Autoassociative Networks and Holistic ComputationsIvelin Stoianov. 605-610 [doi]
• Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial BrainHugo de Garis, Michael Korkin, Padma Guttikonda, Donald H. Cooley. 606-612 [doi]
• Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of NeuronsCornelius Weber, Klaus Obermayer. 608-613 [doi]
• Reformulated Radial Basis Neural Networks with Adjustable Weighted NormsNicolaos B. Karayiannis, Mary M. Randolph-Gips. 608-613 [doi]
• Fixed Points of Autoassociative Morphological MemoriesPeter Sussner. 611-616 [doi]
• New Developments in the Theory and Training of Reformulated Radial Basis Neural NetworksNicolaos B. Karayiannis. 614-619 [doi]
• A Novel Neural Architecture with High Storage CapacityChua-Chin Wang, Cheng-Fa Tsai. 617-621 [doi]
• Convergence Time in Hopfield NetworkAlexander A. Frolov, Dusan Húsek. 622-626 [doi]
• Functional Representation of Recalling Process and Memory Capacity in Associative MemoryYukio Kumagai. 627-634 [doi]
• Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep StagerArthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek. 627-631 [doi]
• Computational Intelligence in Adaptive Educational HypermediaKyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou. 629-636 [doi]
• Local Neural Classifier for EEG-Based Recognition of Mental TasksJosé del R. Millán, Josep Mouriño, Fabio Babiloni, Febo Cincotti, Markus Varsta, Jukka Heikkonen. 632-636 [doi]
• Artificial Consciousness Algorithm for an Autonomous SystemJohn L. Johnson, H. John Caulfield, Jaime R. Taylor. 635-640 [doi]
• Classification of Cardiotocographic Records by Neural NetworksGiovanni Magenes, Maria G. Signorini, Domenico Arduini. 637-641 [doi]
• Biologically Inspired Neural Controllers for Motor Control in a Quadruped RobotAude Billard, Auke Jan Ijspeert. 637-641 [doi]
• Knowledge-Based Cascade-CorrelationThomas R. Shultz, François Rivest. 641-646 [doi]
• Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural NetworksOnsy Abdel Alim, Hania Farag. 642-650 [doi]
• A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated SalamanderAuke Jan Ijspeert. 642-648 [doi]
• Neuro-Architecture-Motivated ANNs and Cortical ParcellationJ. G. (Iain) Wallace, Kevin Bluff. 647-651 [doi]
• Study of Site-Specific Bone Formation Using a Neural Network ModelLi Yuan Mi, Mitra Basu, Susannah Fritton, Stephen Cowin. 651-654 [doi]
• A Mean Field Approach to MAP in Belief NetworksYun Peng, Miao Jin. 652 [doi]
• Detecting False Benign in Breast Cancer DiagnosisZheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison. 655-658 [doi]