IJCNN 2000: Como, Italy

Recurrent Networks I

• Alessio Micheli, Diego Sona, Alessandro Sperduti:
  Bi-Causal Recurrent Cascade Correlation. 3-8
  
• Pablo Zegers, Malur K. Sundareshan:
  Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories. 9-14
  
• Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
  Improved Learning of Multiple Continuous Trajectories with Initial Network State. 15-20
  
• Lai-Wan Chan, Chi-Cheong Szeto:
  Weight Groupings in the Training of Recurrent Networks. 21-26
  
• Romuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville:
  A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks. 27-34
  

Special Session on 'Techniques to Improve Human Understanding of Complex Neural Systems'

• Michael J. Healy:
  Category Theory Applied to Neural Modeling and Graphical Representations. 35-40
  
• Kim M. Edlund, Thomas P. Caudell:
  Realtime Visualization of the Learning Processes in the LAPART Neural Architecture as it Controls a Simulated Autonomous Vehicle. 41-46
  
• A. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa:
  The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. 47-52
  
• Karen G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya:
  Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica. 53-60
  

Special Session on 'Adaptive Critic Design I'

• Paul J. Werbos:
  New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain. 61-66
  
• Zhongwu Huang, S. N. Balakrishnan:
  Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties. 67-72
  
• George G. Lendaris, Larry Schultz, Thaddeus T. Shannon:
  Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle. 73-78
  
• Donald C. Wunsch:
  The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Solution. 79-84
  

Function Approximation I

• Tamás Szabó, Gábor Horváth:
  Improving the Generalization Capability of the Binary CMAC. 85-90
  
• Michaël Aupetit, Pierre Couturier, Pierre Massotte:
  A 'Recruiting Neural-Gas' for Function Approximation. 91-96
  
• Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi:
  Universal Learning Networks with Branch Control. 97-102
  
• Dragoljub Pokrajac, Zoran Obradovic:
  Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. 103-108
  
• Nicolino J. Pizzi, Witold Pedrycz:
  Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. 109-114
  

Spiking Neural Networks I

• Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann:
  Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. 115-120
  
• Stefano Fusi, Paolo Del Giudice, Daniel J. Amit:
  Neurophysiology of a VLSI Spiking Neural Network: LANN21. 121-126
  
• Marifi Güler, Cem Ergün:
  On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh Neurons. 127-134
  

Pattern Recognition III

• Kunihiko Fukushima:
  Recognition of Occluded Patterns: A Neural Network Model. 135-138
  
• Sameer Singh, Markos Markou, John F. Haddon:
  Natural Object Classification Using Artificial Neural Networks. 139-144
  
• Toshihisa Kosaka, Sigeru Omatu:
  Classification of the Italian Liras Using the LVQ Method. 145-148
  
• Zhengjun Pan, Alistair G. Rust, Hamid Bolouri:
  Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms. 149-154
  
• Giorgio Giacinto, Fabio Roli, Giorgio Fumera:
  Unsupervised Learning of Neural Network Ensembles for Image Classification. 155-162
  

Unsupervised Learning I

• Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
  On-Line EM Reinforcement Learning. 163-168
  
• Panu Somervuo:
  Competing Hidden Markov Models on the Self-Organizing Map. 169-174
  
• Toshiaki Aida:
  Recognition and Geometrical On-line Learning Algorithm of Probability Distributions. 175-180
  
• Francesco E. Lauria, R. Prevete, M. Milo:
  An Adaptable Boolean Neural Network Performing Specific Sequence Learning. 181-188
  

Learning and Memory

• Felix A. Gers, Jürgen Schmidhuber:
  Recurrent Nets that Time and Count. 189-194
  
• A. Garenne, Pierre Chauvet, Gilbert A. Chauvet:
  On the Properties of Time Trajectories Learned by the Cerebellar Cortex. 195-200
  
• Alberto Herrera, José Luis Pérez, Rafael Prieto, Alejandro Padrón:
  Short Term Memory Phenomena in an Autosynaptic Neuron. 201-206
  
• Guilherme De A. Barreto, Aluizio F. R. Araújo:
  Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. 207-212
  
• Bram Bakker, Gwendid T. van der Voort van der Kleij:
  Trading Off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian Task. 213-220
  

Special Session on 'Adaptive Critic Design II'

• Jennie Si, Yu-Tsung Wang:
  On-Line Learning Control by Association and Reinforcement. 221-226
  
• Tomas Hrycej:
  An Estimate of the Number of Samples to Convergence for Critic Algorithms. 227-232
  
• Ganesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch II:
  Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator. 233-240
  

Function Approximation II

• Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
  Gaussian Process Regression: Active Data Selection and Test Point Rejection. 241-246
  
• Nobuyuki Matsui, Noriaki Kouda, Haruhiko Nishimura:
  Neural Network Based on QBP and Its Performance. 247-252
  
• Kenji Nakayama, Akihiro Hirano, Aki Kanbe:
  A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm. 253-258
  
• Richard E. Groff, Daniel E. Koditschek, Pramod P. Khargonekar:
  Piecewise Linear Homeomorphisms: The Scalar Case. 259-264
  
• Jaroslaw Chrobak, Andrzej Pacut, Andrzej Karbowski:
  Dynamic Programming with ARMA, Markov, and NARMA Models vs. Q-Learning: Case Study. 265-272
  

Spiking Neural Networks II

• Jens Teichert, Rainer Malaka:
  A Learning Algorithm for Improved Pattern Synchronization in Networks with Biologically Motivated Neurons. 273-278
  
• Sander M. Bohte, Johannes A. La Poutré, Joost N. Kok:
  Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons. 279-284
  
• Susumu Kuroyanagi, Akira Iwata:
  An Unsupervised Learning Rule for the Pulsed Neuron Model: The Vector Quantization of the Auditory Temporal Signals. 285-290
  
• Hiroyuki Torikai, Toshimichi Saito:
  Pulse-Coupled Networks of Non-Autonomous Integrate-and-Fire Oscillators and Classification Functions. 291-295
  
• Yutaka Maeda, Toshiki Tada:
  FPGA Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation. 296-304
  

Face Recognition

• Srinivas Gutta, Harry Wechsler:
  Network Ensembles for Facial Analysis Tasks. 305-310
  
• Ashit Talukder, David Casasent:
  Neural Net with Adaptive Activation Functions for Face Recognition. 311-314
  
• Masahiro Yoshida, Hideki Asai, Takeshi Kamio:
  Neuro-Based Human-Face Recognition with 2-Dimensional Discrete Walsh Transform. 315-319
  
• Hazem M. El-Bakry, M. A. Abo-Elsoud, Mohamed S. Kamel:
  Fast Modular Neural Nets for Human Face Detection. 320-326
  

Blind Signal Separation

• Kenji Nakayama, Akihiro Hirano, Motoki Nitta:
  A Constraint Learning Algorithm for Blind Source Separation. 327-332
  
• Andrea Pierani, Francesco Piazza, Mirko Solazzi, Aurelio Uncini:
  Low Complexity Adaptive Non-Linear Function for Blind Signal Separation. 333-338
  
• Ana Maria Tomé:
  Blind Source Separation Using a Matrix Pencil. 339-342
  
• Simone Fiori:
  Stiefel-Grassman Flow (SGF) Learning: Further Results. 343-350
  

Independent Component Analysis I

• Yasuo Matsuyama, Takeshi Niimoto, Naoto Katsumata, Yoshitaka Suzuki, Satoshi Furukawa:
  EM Algorithm and -ICA Learning Based upon Extended Logarithmic Information Measures. 351-356
  
• Ella Bingham, Aapo Hyvärinen:
  ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm. 357-362
  
• Francesco Palmieri, Alessandra Budillon:
  Unsupervised Rank-Deficient Density Estimation via Multi-Class Independent Component Analysis. 363-368
  
• Patrik O. Hoyer, Aapo Hyvärinen:
  Feature Extraction from Color and Stereo Images Using ICA. 369-376
  

Principal Component Analysis

• Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi:
  Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. 377-380
  
• Darryl Charles, Colin Fyfe:
  Kernel Factor Analysis with Varimax Rotation. 381-386
  
• Kazuyuki Hiraoka, Shuji Yoshizawa, Ken-ichi Hidai, Masashi Hamahira, Hiroshi Mizoguchi, Taketoshi Mishima:
  Convergence Analysis of Online Linear Discriminant Analysis. 387-391
  
• Simone Fiori, Saverio Costa, Pietro Burrascano:
  Improved psi-APEX Algorithm for Digital Image Compression. 392-400
  

Rule Extraction

• Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
  A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks. 401-406
  
• Eduardo R. Hruschka, Nelson F. F. Ebecken:
  Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. 407-412
  
• Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu:
  A New Rule Generation Method from Neural Networks Formed Using a Genetic Algorithm with Virus Infection. 413-418
  
• Guido Bologna:
  Rule Extraction from a Multi Layer Perceptron with Staircase Activation Functions. 419-424
  
• Ofer Melnik, Jordan B. Pollack:
  Using Graphs to Analyze High-Dimensional Classifiers. 425-432
  

Symbolic and Sub-Symbolic Computation II

• Stefan Wermter, Christo Panchev, Garen Arevian:
  Meaning Spotting and Robustness of Recurrent Networks. 433-438
  
• Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos:
  Encoding of Probabilistic Automata into RAM-Based Neural Networks. 439-444
  
• Sean Snyders, Christian W. Omlin:
  What Inductive Bias Gives Good Neural Network Training Performance? 445-450
  
• Ian Johnson, Mark D. Plumbley:
  On-Line Connectionist Q-Learning Produces Unreliable Performance with A Synonym Finding Task. 451-458
  

Multilayer Perceptrons IV

• Ofer Melnik, Jordan B. Pollack:
  Exact Representations from Feed-Forward Networks. 459-464
  
• Shuxiang Xu, Ming Zhang:
  Justification of a Neuron-Adaptive Activation Function. 465-470
  
• Mirko Solazzi, Aurelio Uncini:
  Artificial Neural Networks with Adaptive Multidimensional Spline Activation Functions. 471-476
  
• Wlodzislaw Duch, Norbert Jankowski:
  Taxonomy of Neural Transfer Functions. 477-484
  

Hardware Implementation II

• Lu Chen, Bingxue Shi:
  CMOS PWM VLSI Implementation of Neural Network. 485-488
  
• Seiji Kameda, Tetsuya Yagi:
  An Analog Vision Chip Applicable to Real-Time Image Processings in Indoor Illumination. 489-493
  
• Tetsuya Asai, Masato Koutani, Yoshihito Amemiya:
  An Analog-Digital Hybrid CMOS Circuit for Two-Dimensional Motion Detection with Correlation Neural Networks. 494-499
  
• Teru Yoneyama, Hideki Asai, Hiroshi Ninomiya:
  Design Method of Limit Cycle Generator by Hysteresis Neural Networks. 500-505
  
• Bernard Girau:
  Digital Hardware Implementation of 2D Compatible Neural Networks. 506-514
  

Hardware Implementation III

• Itsuo Takanami, Masaru Sato, Yun Ping Yang:
  A Fault-Value Injection Approach for Multiple-Weight-Fault Tolerance of MNNs. 515-520
  
• Haruhiko Takase, Tsuyoshi Shinogi, Terumine Hayashi, Hidehiko Kita:
  Evaluation Function for Fault Tolerant Multi-Layer Neural Networks. 521-526
  
• Xavier Parra, Andreu Català:
  Fault Tolerance in the Learning Algorithm of Radial Basis Function Networks. 527-534
  

Hardware Implementation IV

• Cesare Alippi, Stefano Ferrari, Vincenzo Piuri:
  A Methodology for Example-Based Specification and Design. 535-542
  

Classification II

• Kazuyuki Hara, Kenji Nakayama:
  A Training Method with Small Computation for Classification. 543-548
  
• Kota Kawaratani, Shigeo Abe:
  Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids. 549-554
  
• Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe:
  Training Three-Layer Neural Network Classifiers by Solving Inequalities. 555-560
  
• Vladimir Radevski, Younés Bennan:
  Reliability Control in Committee Classifier Environment. 561-565
  
• Gerhard Paass, Jörg Kindermann:
  Multistep Sequential Exploration of Growing Bayesian Classification Models. 566-574
  

Clustering I

• Giuseppe Patanè, Marco Russo:
  Parallel Clustering on a Commodity Supercomputer. 575-580
  
• Hsin-Chang Yang, Chung-Hong Lee:
  Automatic Category Generation for Text Documents by Self-Organizing Maps. 581-586
  
• Johan Himberg:
  A SOM Based Cluster Visualization and Its Application for False Coloring. 587-592
  
• Antonio Ballarin, Simona Gervasi, Fabrizio Giancarli, Francesco Cecere:
  A Categorization Methodology for the Analysis of the Mortality Rate in Psychiatric Hospitals. 593-600
  

Radial Basis Function Networks I

• Nanning Zheng, Zhihua Zhang, Haibing Zheng, Shi Gang:
  Deterministic Annealing Learning of the Radial Basis Function Nets for Improving the Regression Ability of RBF Network. 601-607
  
• Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
  Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms. 608-613
  
• Nicolaos B. Karayiannis:
  New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks. 614-619
  
• Katheryn Margaret Adeney, Michael J. Korenberg:
  An Easily Calculated Bound on Condition for Orthogonal Algorithms. 620-626
  

Medical Applications II

• Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek:
  Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager. 627-631
  
• José del R. Millán, Josep Mouriño, Fabio Babiloni, Febo Cincotti, Markus Varsta, Jukka Heikkonen:
  Local Neural Classifier for EEG-Based Recognition of Mental Tasks. 632-636
  
• Giovanni Magenes, Maria G. Signorini, Domenico Arduini:
  Classification of Cardiotocographic Records by Neural Networks. 637-641
  
• Onsy Abdel Alim, Hania Farag:
  Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks. 642-650
  

Medical Applications III

• Li Yuan Mi, Mitra Basu, Susannah Fritton, Stephen Cowin:
  Study of Site-Specific Bone Formation Using a Neural Network Model. 651-654
  
• Zheng Rong Yang, Weiping Lu, Dejin Yu, Robert G. Harrison:
  Detecting False Benign in Breast Cancer Diagnosis. 655-658
  
• Hong Zhang, Zhen Zhang, Alan W. Partin:
  Neural Network Based Systems for Prostate Cancer Stage Prediction. 659-662
  
• Frank R. Funderburk, Karen I. Bolla, Jean-Lud Cadet:
  Multilayer Perceptrons Can Predict Cognitive Status during Recovery from Chronic Substance Misuse: Implications for Individualized Treatment Planning. 663
  

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