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IJCNN 2000: Como, Italy
- 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 3. IEEE Computer Society 2000
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 - Adrian K. 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, Roberto Prevete
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
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. Bohté, 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 P. Casasent:
Neural Net with Adaptive Activation Functions for Face Recognition. 311-314 - Masahiro Yoshida, Hideki Asai
Neuro-Based Human-Face Recognition with 2-Dimensional Discrete Walsh Transform. 315-319 - Hazem M. El-Bakry
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 G. O. 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
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
Kernel Factor Analysis with Varimax Rotation. 381-386 - Kazuyuki Hiraoka, Shuji Yoshizawa, Ken-ichi Hidai, Masashi Hamahira, Hiroshi Mizoguchi
Convergence Analysis of Online Linear Discriminant Analysis. 387-391 - Simone G. O. 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
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
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
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, Younès Bennani
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
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 A. 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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