• 
  Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 6. IEEE 2000

Self-Organizing Maps I

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  Da Deng, Nikola K. Kasabov: ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. 3-8
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  Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck: EM Algorithms for Self-Organizing Maps. 9-14
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  Michael Dittenbach, Dieter Merkl, Andreas Rauber: The Growing Hierarchical Self-Organizing Map. 15-19
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  Thomas Voegtlin: Context Quantization and Contextual Self-Organizing Maps. 20-25
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  John A. Flanagan: Self-Organization in the SOM and Lebesque Continuity of the Input Distribution. 26-34

Adaptive Resonance Theory Networks II

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  Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie: Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network. 35-40
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  Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy: Hierarchical ARTMAP. 41-46
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  Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado: MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP. 47-52
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  Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis: Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. 53-58
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  Georgios C. Anagnostopoulos, Michael Georgiopoulos: Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. 59-66

Manufacturing

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  T. Rinder, H. Rothe: Surface Identification Using Angle Resolved Light Scatter Measurements. 67-72
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  Walter Maydl, Bernhard Sick: Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study. 73-80

Speech Processing II

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  Rhee Man Kil, Young-Ik Kim, Geon Hyoung Lee: A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition. 81-86
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  Jae-Hoon Jeong, Soo-Young Lee: Speaker Adaptation based on Judge Network with Small Adaptation Words. 87-90
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  Qing Ma, Kyoko Kanzaki, Masaki Murata, Masao Utiyama, Kiyotaka Uchimoto, Hitoshi Isahara: Self-Organizing Semantic Maps of Japanese Nouns in Terms of Adnominal Constituents. 91-96
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  Ig-Tae Um, Jong-Jin Won, Moon-Hyun Kim: Text Independent Speaker Verification Using Modular Neural Network. 97-104

Communications V

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  Antonio Chella, D. Guarino, Giuseppe Di Fatta, G. Favarò, Giuseppe Lo Re: A Reconfigurable Neural Environment on Active Networks. 105-108
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  Enjie Liu, Laurie G. Cuthbert, John A. Schormans, Gary Stoneley: Neural Network in Fast Simulation Modeling. 109-113
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  Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias: Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources. 114-119
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  Dragan Jevtic, Denis Sablic: Intelligent Call Transfer Based on Reinforcement Learning. 120-126

Special Session on 'Artificial Neural Networks for Mobile Robots'

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  Alicia D'Anjou, Francisco Javier Torrealdea, Cecilia Sarasola: Control of Chaotic Behavior with ANN. 127-130
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  Elsa Fernandez, Imanol Echave, Manuel Graña: Increased Robustness in Visual Processing with SOM-Based Filtering. 131-134
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  José Luis Crespo, José Santos Reyes, Richard J. Duro: Robust Visual Recognition with High-Order Gaussian Synapses Networks. 135-139
• 
  Bogdan Raducanu, Manuel Graña: Morphological Neural Networks for Robust Visual Processing in Mobile Robotics. 140-143
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  Francisco Bellas, J. A. Becerra, José Santos Reyes, Richard J. Duro: Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots. 144-152

Self-Organizing Maps II

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  Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Structure Formation in Visual Cortex Based on a Curved Feature Space. 153-158
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  Arnulfo P. Azcarraga: Assessing Self-Organization Using Order Metrics. 159-164
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  Gabriela Guimarães: Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing Maps. 165-170
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  Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang: Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm. 171-176
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  Andreas Rauber, Philipp Tomsich, Dieter Merkl: parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis. 177-184

Identification III

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  André Nunes De Souza, Ivan Nunes da Silva, Mário Eduardo Bordon: Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning. 185-190
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  Giuseppe Nunnari, Libero Bertucco: Soft Computing Techniques for Modeling Geophysical Data. 191-196
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  Olivier Sarzeaud, Yann Stéphan: Data Interpolation Using Kohonen Networks. 197-202
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  Ivan Nunes da Silva, Nilton J. Saggioro, Jose A. Cagnon: Using Neural Networks for Estimation of Aquifer Dynamical Behavior. 203-207
• 
  Ingrid Schjølberg: A Comparison Study between Artificial Neural Networks and AR-Models, Applied to Norwegian Inflow Time Series. 208-216

Power Systems

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  Volker Stephan, Klaus Debes, Horst-Michael Gross, F. Wintrich, H. Wintrich: A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion Process. 217-222
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  Amanda J. C. Sharkey, Gopinath Odayammadath Chandroth, Noel E. Sharkey: Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis. 223-228
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  Witold Bartkiewicz: Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting. 229-234
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  Witold Bartkiewicz, Zbigniew Gontar, Jerzy S. Zielinski, Witold Bardzki: Uncertainty of the Short-Term Electrical Load Forecasting in Utilities. 235-240
• 
  Otávio Augusto S. Carpinteiro, Alexandre P. Alves da Silva, Carlos H. L. Feichas: A Hierarchical Neural Model in Short-Term Load Forecasting. 241-248

Signal Processing

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  Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka: Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. 249-252
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  Fausto Acernese, Fabrizio Barone, Antonio Eleuteri, F. Garufi, Leopoldo Milano, Roberto Tagliaferri: A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification. 253-258
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  Ryan Mukai, Payman Arabshahi, Victor A. Vilnrotter: An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas. 259-264
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  Karsten Fanghänel, Kuno Köllmann, Frank Raps, Hans Christoph Zeidler: Classifying Emitters in the High Frequency Range with Self-Organizing Maps. 265-269
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  Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer: A New Method for Tracking Modulations in Tonal Music in Audio Data Format. 270-278

Data Analysis II

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  Francesco Vivarelli, Roberto Serra, Enzo Agagliati, Antonella Malcangi, Roberto Muraca: Bayesian Neural Network for Fermentation Control. 279-284
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  Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione: The GeTLS EXIN Neuron for Linear Regression. 285-289
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  Xuequn Li, Irwin King: Regression Analysis for Rival Penalized Competitive Learning Binary Tree. 290-295
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  Thomas P. Trappenberg, Andrew D. Back: A Classification Scheme for Applications with Ambiguous Data. 296-301
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  Aaron J. Owens: Empirical Modeling of Very Large Data Sets Using Neural Networks. 302-310

Robotics III

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  Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda: Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks. 311-316
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  Edoardo Ardizzone, Antonio Chella, Roberto Pirrone: Pose Classification Using Support Vector Machines. 317-322
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  Fredrik Linåker, Lars Niklasson: Time Series Segmentation Using an Adaptive Resource Allocating Vector Quantization Network Based on Change Detection. 323-328
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  Hirotaka Akita, Md. Monirul Islam, Tooru Matumoto, Kazuyuki Murase: Back-Propagation Learning in Real Autonomous Mobile Robot Using Proximal and Distal Evaluation of Behavior . 329-333
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  Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro: MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. 334-342

Economics and Finance II

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  Larisa Lokmic, Kate A. Smith: Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. 343-347
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  Theodore B. Trafalis, Huseyin Ince: Support Vector Machine for Regression and Applications to Financial Forecasting. 348-353
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  Alan Fan, Marimuthu Palaniswami: Selecting Bankruptcy Predictors Using a Support Vector Machine Approach. 354-359
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  Andreas S. Andreou, Constantinos C. Neocleous, Christos Schizas, Costas Toumpouris: Testing the Predictability of the Cyprus Stock Exchange: The Case of an Emerging Market. 360-368

Fault Diagnosis and Defect Identification II

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  Steve F. Hiebert, Ratna Babij Chinnamt: Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems. 369-374
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  Simon J. Hickinbotham, James Austin: Neural Networks for Novelty Detection in Airframe Strain Data. 375-380
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  S. Barcherini, L. Cipiccia, M. Maggi, Simone Fiori, Pietro Burrascano: Non-Destructive Test by the Hopfield Network. 381-388

Support Vector Machines II

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  Eduardo Bayro-Corrochano, Refugio Vallejo: Geometric Neural Networks and Support Multi-Vector Machines. 389-394
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  Ana Madevska-Bogdanova, Dragan Nikolik: A New Approach of Modifying SVM Outputs. 395-398
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  João Pedro Pedroso, Noboru Murata: Optimization on Support Vector Machines. 399-404
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  Menita Carozza, Salvatore Rampone: Towards an Incremental SVM for Regression. 405-410
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  Ying Tan, Youshen Xia, Jun Wang: Neural Network Realization of Support Vector Methods for Pattern Classification. 411-418

Neurodynamics and Chaos II

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  Hiroki Suyari, Yoshinobu Kamitani, Ikuo Matsuba: Randomly Connected Neural Networks Displaying 1/f Spectra. 419-422
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  Emílio Del Moral Hernandez: Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing. 423-428
• 
  Rafael Prieto Meléndez, Alberto A. Herrera Becerra, José Luis Pérez S., Alejandro Padrón G.: Study of a Sequence of Neural Oscillators. 429-433
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  Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler: Dynamical Analysis of an Oscillatory Cortical Neural Network. 434-442

Network Optimization

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  Rudy Setiono, Adam E. Gaweda: Neural Network Pruning for Function Approximation. 443-448
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  Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin: A New Method to Prune the Neural Network. 449-454
• 
  Liying Ma, Khashayar Khorasani: Input-Side Training in Constructive Neural Networks Based on Error Scaling and Pruning. 455-460
• 
  Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui: On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. 461-466
• 
  Md. Monirul Islam, Kazuyuki Murase, M. Shahjahan: An Algorithm for Automatic Design of Two Hidden Layered Artificial Neural Networks. 467-474

Applications to Optimization I

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  Fuyu Tian, Lipo Wang: Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems. 475-479
• 
  Satoshi Matsuda: Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization. 480-485
• 
  Rainer Malaka, Sebastian Buck: Solving Nonlinear Optimization Problems Using Networks Of Spiking Neurons. 486-491
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  Youshen Xia, Jun Wang: A Recurrent Neural Network for Solving Nonlinear Projection Equations. 492-497
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  Xinchuan Zeng, Tony R. Martinez: Rescaling the Energy Function in Hopfield Networks. 498-504

Applications to Optimization II

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  Arun Jagota, Marcello Pelillo, Anand Rangarajan: A New Deterministic Annealing Algorithm for Maximum Clique. 505-508
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  Ivan Nunes da Silva, André Nunes De Souza, Mário Eduardo Bordon: A Modified Hopfield Model for Solving the N-Queens Problem. 509-514
• 
  Priya Alti, Basabi Bhaumik: Neural Global Router. 515-520
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  Gang Feng, Christos Douligeris: Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique. 521-528

Fuzzy Neural Systems II

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  Hiroyasu Kubota, Hisashi Tamaki, Shigeo Abe: Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions. 529-534
• 
  Peitsang Wu, Shu-Cherng Fang, Henry L. W. Nuttle: An Enhanced Fuzzy Neuron Controller for Curved Search Neural Network Learning. 535-540
• 
  Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli: A Recursive Algorithm for Fuzzy Min-Max Networks. 541-546
• 
  Nicolino J. Pizzi: Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron. 547-550
• 
  Ignacio Rojas, José Luis Bernier, Manuel Rodríguez Álvarez, Alberto Prieto: What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems? 551-558

Evolutionary Computation II

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  Daming Shi, Chew Lim Tan: GA-Based Supervised Learning of Neocognitron. 559-564
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  Norio Baba, Hidetsugu Suto: Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System. 565-570
• 
  Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert: Supervised Scaled Regression Clustering: An Alternative to Neural Networks. 571-576
• 
  Fulvio Corno, Matteo Sonza Reorda, Giovanni Squillero: Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata. 577-584

Evolutionary Computation III

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  Md. Monirul Islam, Hirotaka Akita, Kazuyuki Murase, M. Shahjahan: Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network Evolution. 585-590
• 
  Peter Eggenberger: Evolving Neural Network Structures Using Axonal Growth Mechanisms. 591-595
• 
  Maciej Grzenda, Bohdan Macukow: The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons. 596-599
• 
  Peter Pachowicz, Sung Wook Baik: Adaptive RBF Classifier for Object Recognition in Image Sequences. 600-605
• 
  Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald H. Cooley: Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain. 606-612

Evolutionary Computation IV

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  Abdesselam Bouzerdoum: Classification and Function Approximation Using Feed-Forward Shunting Inhibitory Artificial Neural Networks. 613-618
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  Michael Hüsken, Christian Goerick: Fast Learning for Problem Classes Using Knowledge Based Network Initialization. 619-624
• 
  W. K. F. Lor, Kwok Yip Szeto: Switching Dynamics of Multi-Agent Systems: Soap Froths Paradigm. 625-628
• 
  Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou: Computational Intelligence in Adaptive Educational Hypermedia. 629-636

Robotics IV

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  Aude Billard, Auke Jan Ijspeert: Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot. 637-641
• 
  Auke Jan Ijspeert: A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated Salamander. 642-648