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 1. IEEE 2000

@proceedings{DBLP:conf/ijcnn/2000-1,
  title     = {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 1},
  booktitle = {IJCNN (1)},
  publisher = {IEEE},
  year      = {2000},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Supervised Learning I

Masumi Ishikawa, Hirohito Shimada, Shun-ichi Amari:
Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors. 3-8
Joumana Ghosn, Yoshua Bengio:
Bias Learning, Knowledge Sharing. 9-14
Masashi Sugiyama, Hidemitsu Ogawa:
Incremental Active Learning with Bias Reduction. 15-20
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. 21-26
Marco Muselli:
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. 27-34

Special Session on 'Global Brain'

John G. Taylor:
A General Framework for the Functions of the Brain. 35-40
John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine:
The Frontal Lobes and Executive Function. 41-46
Pentti O. A. Haikonen:
A Modular Neural System for Machine Cognition. 47-52

System Identification I

Ivan Petrovic, Mato Baotic, Nedjeljko Peric:
Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks. 53-57
Manuel Pinzolas, J. J. Ibarrola, J. López:
A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function. 58-63
Chandra Kambhampati, F. Garces, K. Warwick:
Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks. 64-69
Aldo Balestrino, Andrea Caiti:
Approximation of Hammerstein/Wiener Dynamic Models. 70-74
A. Fichera, Giovanni Muscato, Maria Gabriella Xibilia, A. Pagano:
Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network. 75-84

Classification I

Sameer Singh:
Classification of Helical Structures. 85-89
László Kovács, Gábor Terstyánszky:
Boundary Region Sensitive Classification for the Counterpropagation Neural Network. 90-94
Donna L. Hudson, Maurice E. Cohen:
Focus of Attention in a Neural Network Using Meta Knowledge. 95-99
Katheryn Margaret Adeney, Michael J. Korenberg:
Target Adaptation to Improve the Performance of Least-Squared Classifiers. 100-105
Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
The K-Winner Machine Model. 106-113

Multilayer Perceptrons I

Steve Lawrence, C. Lee Giles:
Overfitting and Neural Networks: Conjugate Gradient and Backpropagation. 114-119
Jinglu Hu, Kotaro Hirasawa:
Overlapped Multi-Neural-Network: A Case Study. 120-125
Nikolaos Ampazis, Stavros J. Perantonis:
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks. 126-131
A. Ismail, Andries Petrus Engelbrecht:
Global Optimization Algorithms for Training Product Unit Neural Networks. 132-137
Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou:
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. 138-145

Image Processing I

Akira Hirose, Katsuhiko Hiramatsu:
Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging Systems. 146-151
Gunther Heidemann, Dirk Lücke, Helge Ritter:
Segmentation of Partially Occluded Objects by Local Classification. 152-157
Djamel Brahmi, Camille Serruys, Alain Giron, Bernard Fertil, Nathalie Cassoux, Phuc Lehoang:
Segmentation of Virus-Infected areas in Retinal Angiograms Using a Learning-by-Sample Approach. 158-162
Frank E. McFadden, Scott A. Musman:
Optimizing Ship Length Estimates from ISAR Images. 163-168
Natalija Vlajic, Thomas Kunz, Howard C. Card:
Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach. 169-176

Plenary Talk

John G. Taylor:
Towards Understanding Images of the Mind. 177-184
Sin Chun Ng, Shu Hung Leung, Andrew Luk:
A Weight Evolution Algorithm with Deterministic Perturbation. 185-190
Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
On the Combination of Weight-Decay and Input Selection Methods. 191-196
Ryotaro Kamimura:
Conditional Information Analysis. 197-202
Ryotaro Kamimura:
Selective Information Acquisition with Application to Pattern Classification. 203-210

Neurobiology

Michael Tadross, Cameron Whitehouse, Melissa Hornstein, Vicky Eng, Evangelia Micheli-Tzanakou:
A Three-Dimensional Physiologically Realistic Model of the Retina. 211-216
Kazuro Shimokawa, Shigeru Muraki:
A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation. 217-221
Simona Doboli, Ali A. Minai:
Network Capacity for Latent Attractor Computation. 222-227
Basabi Bhaumik, Chota M. Markan:
Orientation Map: A Reaction-Diffusion Based Model. 228-233
Toshitaka Sugimoto, Akira Iwata, Koji Oguri:
A Gustatory Information-Processing Model for the Evaluation of Taste Preference. 234-241

Non-Linear Control I

Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Min Max Control of Nonlinear Systems Using Universal Learning Networks. 242-247
Dragan Obradovic:
Stability and Performance Robustness Issues in Neural Network Feedback Linearization. 248-253
Hiroaki Nakanishi, Koichi Inoue:
Methods to Design Robust Controllers against Nonlinear and Multiple Uncertainties by Use of Neural Networks. 254-259
Jochen J. Steil:
Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons. 260-265
Gary G. Yen, Liang-Wei Ho:
Intelligent Fault Tolerant Control Using Artificial Neural Networks. 266-276

Special Session on 'Neural Networks and Geometry'

Vera Kurková, Marcello Sanguineti:
Comparison of Rates of Linear and Neural Network Approximation. 277-282
Saverio Giulini, Marcello Sanguineti:
On Dimension-Independent Approximation by Neural Networks and Linear Approximators. 283-288
Andrew Vogt:
Should Activation Functions be Affinely Recursive?. 289-292
Roman Neruda:
Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. 293-298
Paul C. Kainen:
Convex Geometry and Nonlinear Approximation. 299-304

Multilayer Perceptrons II

Yoshua Bengio:
Continuous Optimization of Hyper-Parameters. 305-310
Mario Costa, Davide Palmisano, Eros Pasero:
Gradient Descent in Feed-Forward Networks with Binary Neurons. 311-316
Aki Vehtari, Simo Särkkä, Jouko Lampinen:
On MCMC Sampling in Bayesian MLP Neural Networks. 317-322
Vladimir A. Golovko, Yury Savitsky, Anatoly Sachenko, Theodore Laopoulos, Lucio Grandinetti:
Technique of Learning Rate Estimation for Efficient Training of MLP. 323-330

Medical Applications I

Vittorio Sanguineti, Claudio Parodi, Sergio Perissinotto, Francesco Frisone, Paolo Vitali, Pietro Morasso, Guido Rodriguez:
Analysis of fMRI Time Series with Mixtures of Gaussians. 331-335
Dimitris A. Karras, Martin Reczko, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt:
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques. 336-341
Keir Bovis, Sameer Singh, Jonathan E. Fieldsend, Chris Pinder:
Identification of Masses in Digital Mammograms with MLP and RBF Nets. 342-347
Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert:
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. 348-353
Faiza Behloul, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, Marc Janier:
A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography. 354

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