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Neural Networks, IEEE - INNS - ENNS International Joint Conference on (2000)
Como, Italy
July 24, 2000 to July 27, 2000
ISSN: 1098-7576
ISBN: 0-7695-0619-4
Session MA4: Plenary Talk
Session MB1: Supervised Learning I

Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors (Abstract)

Hirohito Shimaday , Kyushu Institute of Technology
Masumi Ishikaway , Kyushu Institute of Technology
pp. 1003

Bias Learning, Knowledge Sharing (Abstract)

Yoshua Bengio , Universit? de Montr?al
Joumana Ghosn , Universit? de Montr?al
pp. 1009

Incremental Active Learning with Bias Reduction (Abstract)

Hidemitsu Ogawa , Tokyo Institute of Technology
Masashi Sugiyama , Tokyo Institute of Technology
pp. 1015

Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation (Abstract)

G.D. Magoulas , University of Athens and University of Patras
M.N. Vrahatis , University of Patras
V.P. Plagianakos , University of Patras
pp. 1021
Session MB2: Special Session on 'Global Brain'

The Frontal Lobes and Executive Function (Abstract)

G. Bugmann , University of Plymouth
R. Bapi , Kawato Dynamic Brain Project
N.R. Taylor , King's College
J.G. Taylor , King's College
D. Levine , University of Texas at Arlington
pp. 1041
Session MB3: System Identification I

Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks (Abstract)

Ivan Petrovic , University of Zagreb
Nedjelko Peric , University of Zagreb
Mato Baotic , University of Zagreb
pp. 1053

A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function (Abstract)

J. Lopez , Universidad Polit?cnica de Cartagena
M. Pinzolas , Universidad Polit?cnica de Cartagena
J.J. Ibarrola , Universidad Polit?cnica de Cartagena
pp. 1058

Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks (Abstract)

F. Garces , University of Reading
C. Kambhampati , University of Reading
K. Warwick , University of Reading
pp. 1064

Approximation of Hammerstein/Wiener Dynamic Models (Abstract)

Andrea Caiti , University of Siena
Aldo Balestrino , University of Pisa
pp. 1070

Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network (Abstract)

A. Fichera , Universit? degli Studi di Catania
M. G. Xibilia , Universit? degli Studi di Catania
G. Muscato , Universit? degli Studi di Catania
A. Pagano , Universit? degli Studi di Catania
pp. 1075
Session MB6: Classification I

Classification of Helical Structures (Abstract)

Sameer Singh , University Of Exeter
pp. 1085

Focus of Attention in a Neural Network Using Meta Knowledge (Abstract)

D.L. Hudson , University of California at San Francisco
M. E. Cohen , California State University at Fresno
pp. 1095

The K-Winner Machine Model (Abstract)

Stefano Rovetta , University of Genoa
Rodolfo Zunino , University of Genoa
Sandro Ridella , University of Genoa
pp. 1106
Session MB7: Multilayer Perceptrons I

Overfitting and Neural Networks: Conjugate Gradient and Backpropagation (Abstract)

C. Lee Giles , NEC Research Institute
Steve Lawrence , NEC Research Institute
pp. 1114

Overlapped Multi-Neural-Network: A Case Study (Abstract)

Jinglu Hu , Kyushu University
Kotaro Hirasawa , Kyushu University
pp. 1120

Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks (Abstract)

N. Ampazis , National Center for Scientific ResearchDEMOKRITOS
S.J. Perantonis , National Center for Scientific ResearchDEMOKRITOS
pp. 1126

Global Optimization Algorithms for Training Product Unit Neural Networks (Abstract)

A.P. Engelbrechtz , University of Pretoria
A. Ismaily , University of Western Cape
pp. 1132

Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates (Abstract)

N. Ampazis , National Center for Scientific ResearchDEMOKRITOS
S. Spirou , King's College London
S.J. Perantonis , National Center for Scientific ResearchDEMOKRITOS
pp. 1138
Session MB8: Image Processing I

Segmentation of Partially Occluded Objects by Local Classification (Abstract)

Helge Ritter , University of Bielefeld
Gunther Heidemann , University of Bielefeld
Dirk Lücke , University of Bielefeld
pp. 1152

Segmentation of Virus-Infected areas in Retinal Angiograms Using a Learning-by-Sample Approach (Abstract)

Phuc Lehoang , H?pital de Piti?-Salp?tri?re
Alain Giron , INSERM
Nathalie Cassoux , H?pital de Piti?-Salp?tri?re
Djamel Brahmi , INSERM
pp. 1158

Optimizing Ship Length Estimates from ISAR Images (Abstract)

Scott A. Musman , Integrated Management Services, Inc.
Frank E. McFadden , Integrated Management Services, Inc.
pp. 1163

Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach (Abstract)

Thomas Kunz , Carleton University
Natalija Vlajic , Carleton University
Howard C. Card , University of Manitoba
pp. 1169
Session MD4: Plenary Talk

A Weight Evolution Algorithm with Deterministic Perturbation (Abstract)

Shu-Hung Leung , City University of Hong Kong
Andrew Luk , St. B&P Neural Investments Pty. Ltd.
Sin-Chun Ng , Hong Kong Institute of Vocational Education
pp. 1185

Conditional Information Analysis (Abstract)

Ryotaro Kamimura , Tokai University
pp. 1197
Session ME2: Neurobiology

A Three-Dimensional Physiologically Realistic Model of the Retina (Abstract)

Evangelia Micheli-Tzanakou , Rutgers University
Melissa Hornstein , Rutgers University
Cameron Whitehouse , Rutgers University
Michael Tadross , Rutgers University
Vicky Eng , Rutgers University
pp. 1211

A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation (Abstract)

Kazuro Shimokawa , Tsukuba University and Electrotechnical Laboratory
Shigeru Murak , Tsukuba University and Electrotechnical Laboratory
pp. 1217

Network Capacity for Latent Attractor Computation (Abstract)

Simona Doboli , University of Cincinnati
Ali A. Minai , University of Cincinnati
pp. 1222

Orientation Map: A Reaction-Diffusion Based Model (Abstract)

Basabi Bhaumik , Indian Institute of Technology
Chota M. Markan , Dayalbagh Educational Institute
pp. 1228

A Gustatory Information-Processing Model for the Evaluation of Taste Preference (Abstract)

Toshitaka Sugimoto , Nagoya Institute of Technology
Akira Iwata , Nagoya Institute of Technology
Koji Oguri , Aichi Prefectural University
pp. 1234
Session ME3: Non-Linear Control I

Min Max Control of Nonlinear Systems Using Universal Learning Networks (Abstract)

Jinglu Hu , Kyushu University
Junichi Murata , Kyushu University
Kotaro Hirasawa , Kyushu University
Hongping Chen , Kyushu University
pp. 1242

Intelligent Fault Tolerant Control Using Artificial Neural Networks (Abstract)

Liang-Wei Ho , Oklahoma State University
Gary G. Yen , Oklahoma State University
pp. 1266
Session ME6: Special Session on 'Neural Networks and Geometry'

Comparison of Rates of Linear and Neural Network Approximation (Abstract)

Vera Kurková , Academy of Sciences of the Czech Republic
Marcello Sanguineti , University of Genoa
pp. 1277

Should Activation Functions be Affinely Recursive? (Abstract)

Andrew Vogt , Georgetown University
pp. 1289

Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries (Abstract)

Roman Neruda , Academy of Sciences of the Czech Republic
pp. 1293

Convex Geometry and Nonlinear Approximation (Abstract)

Paul C. Kainen , Georgetown University
pp. 1299
Session ME7: Multilayer Perceptrons II

Continuous Optimization of Hyper-Parameters (Abstract)

Yoshua Bengio , Universit? de Montr?al
pp. 1305

Gradient Descent in Feed-Forward Networks with Binary Neurons (Abstract)

Davide Palmisano , Politecnico di Torino
Mario Costa , Politecnico di Torino
Eros Pasero , Politecnico di Torino
pp. 1311

On MCMC Sampling in Bayesian MLP Neural Networks (Abstract)

Simo Särkkä , Helsinki University of Technology
Jouko Lampinen , Helsinki University of Technology
Aki Vehtari , Helsinki University of Technology
pp. 1317

Technique of Learning Rate Estimation for Efficient Training of MLP (Abstract)

L. Grandinetti , University of Calabria
Yury Savitsky , Brest Polytechnic Institute
T. Laopoulo , Ternopil Academy of National Economy
Vladimir Golovko , Brest Polytechnic Institute
A. Sachenko , Aristotle University of Thessaloniki
pp. 1323
Session ME8: Medical Applications I

Analysis of fMRI Time Series with Mixtures of Gaussians (Abstract)

Claudio Parodi , University of Genova
Francesco Frisone , University of Genova
Paolo Vitali , University of Genova
Guido Rodriguez , University of Genova
Sergio Perissinotto , University of Genova
Vittorio Sanguineti , University of Genova
Pietro Morasso , University of Genova
pp. 1331

MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques (Abstract)

D. Van Ormondt , Delft University of Technology
D. Graveron-Demilly , Universite LYON I-CPE
D.A. Karras , University of Piraeus
B.G. Mertzios , DEMOCRITUS University of Thrace
M. Reczko , DEMOCRITUS University of Thrace
pp. 1336

Identification of Masses in Digital Mammograms with MLP and RBF Nets (Abstract)

Chris Pinder , Royal Devon & Exeter Hospital
Jonathan Fieldsend , University of Exeter
Sameer Singh , University of Exeter
Keir Bovis , University of Exeter
pp. 1342

Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding (Abstract)

Heiko Wersing , University of Bielefeld
Tim W. Nattkemper , University of Bielefeld
Walter Schubert , University of Magdeburg and MELTEC Ltd.
Helge Ritter , University of Bielefeld
pp. 1348

A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography (Abstract)

Johan H.C. Reiber , Leiden University Medical Center
Boudewijn P.F. Lelieveldt , Leiden University Medical Center
Faiza Behloul , Leiden University Medical Center
Marc Janier , Research and Applications Center for Image and Signal Processing
pp. 1354
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