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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 TA4: Plenary Talk

Self-Organizing Maps of Massive Document Collections (Abstract)

Teuvo Kohonen , Helsinki University of Technology
pp. 2003
Session TB1: Statistical Frameworks for Learning

Stochastic Resonance Neural Network and Its Performance (Abstract)

Tatsuhiko Nobori , Himeji Institute of Technology
Nobuyuki Matsui , Himeji Institute of Technology
pp. 2013

Large Margin Classifier via Semiparametric Inference (Abstract)

Shotaro Akaho , Electrotechnical Laboratory
Koji Tsuda , Electrotechnical Laboratory
pp. 2023

Parallel Non Linear Dichotomizers (Abstract)

Francesco Masulli , Universit? di Genova
Giorgio Valentini , Universit? di Genova
pp. 2029
Session TB2: Neurocognition I

Pattern Recognition with Eye Movement: A Neural Network Model (Abstract)

Masayuki Kikuchi , University of Tsukuba
Kunihiko Fukushima , University of Electro-Communications,
pp. 2037

A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent (Abstract)

Arnaud Revel , Universit? de Cergy-Pontoise/ENSEA
Philippe Gaussier , Universit? de Cergy-Pontoise/ENSEA
Yves Burnod , INSERM
pp. 2041
Session TB3: Hardware Implementation I

A Full-Parallel Digital Implementation for Pre-Trained NNs (Abstract)

Lörinc Antoni , Technical University of Budapest
Gábor Horváth , Technical University of Budapest
Tamás Szabó , Technical University of Budapest
Béla Fehér , Technical University of Budapest
pp. 2049

FPGA Architecture Comparison for Non-Conventional Signal Processing (Abstract)

D. Franco , Universidade Federal do Rio Grande do Sul
L. Carro , Universidade Federal do Rio Grande do Sul
pp. 2055
Session TB6: Special Session on 'From Subsymbolic Neural Network Representations to Symbols'

A General Framework for Symbol and Rule Extraction in Neural Networks (Abstract)

J. Taylor , King's College London
C. Orovas , University of Milan
B. Apolloni , University of Milan
Stan Gielen , University of Nijmegen
W. Fellenz , King's College London
Machiel Westerdijk , University of Nijmegen
pp. 2087

On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System (Abstract)

W.A. Fellenz , King's College
S. Kollias , National Technical University of Athens
C. Orovas , University of Milan
R. Cowie , Queen's University of Belfast
B. Apolloni , University of Milan
J.G. Taylor , King's College
F. Piat , National Technical University of Athens
E. Douglas-Cowie , Queen's University of Belfast
pp. 2093

Constructing Symbols as Manipulable Structures by Recurrent Networks (Abstract)

N.R. Taylor , King's College London
J.G. Taylor , King's College London
B Apolloni , University of Milan
C Orovas , University of Milan
pp. 2099
Session TB7: Multilayer Perceptrons III

The Inefficiency of Batch Training for Large Training Sets (Abstract)

Tony R. Martinez , Brigham Young University
D. Randall Wilson , fonix Corporation
pp. 2113

Backpropagation Algorithm for Logic Oriented Neural Networks (Abstract)

Shinichiro Tanaka , Hiroshima City University
Takeshi Kamio , Hiroshima City University
Mititada Morisue , Hiroshima City University
pp. 2123

A Hyperbolic Multilayer Perceptron (Abstract)

Sven Buchholz , University of Kiel
Gerald Sommer , University of Kiel
pp. 2129
Session TB8: Pattern Recognition I

Spreading Associative Neural Network Recognizes the Shape and Position of an Object Simultaneously (Abstract)

Takashi Minami , Toyama Prefectural University
Kiyomi Nakamura , Toyama Prefectural University
Hirokazu Kanayama , Toyama Prefectural University
Noriki Kinoshita , Toyama Prefectural University
pp. 2137

A Neural Network Approach to Hyphenating Norwegian (Abstract)

Terje Kristensen , Bergen University College
pp. 2148

Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography (Abstract)

Tomas Martinsen , Helsinki University of Technology
Jani Lahtinen , Helsinki University of Technology
Jouko Lampinen , Helsinki University of Technology
pp. 2154

Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm (Abstract)

E. Nappi , INFN sezione di Bari
Giuseppe Mastronardi , Politecnico di Bari
Vitoantonio Bevilacqua , Politecnico di Bari
Marcello Castellano , Politecnico di Bari
pp. 2159
Session TD4: Plenary Talk
Session TE1: Supervised Learning III

On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application (Abstract)

Eiji Mizutani , University of California at Berkeley and Sony US Research Laboratories
Stuart E. Dreyfus , University of California at Berkeley
Kenichi Nishio , Sony Corporation Personal IT Network Company
pp. 2167

Analyzing Learning Dynamics: How to Average? (Abstract)

Christian Goerick , Ruhr-Universit?t Bochum
pp. 2191
Session TE2: Neurocognition II

Unfaithful Population Decoding (Abstract)

Si Wu , RIKEN Brain Science Institute
Shun-ichi Amari , RIKEN Brain Science Institute
Danmei Chen , RIKEN Brain Science Institute
pp. 2199

Frequency-Based Error Back-Propagation in a Cortical Network (Abstract)

Rafal Bogacz , University of Bristol
Malcolm W. Brown , University of Bristol
Christophe Giraud-Carrier , University of Bristol
pp. 2211
Session TE3: Time Series Prediction I

Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks (Abstract)

Hiroyuki Narihisa , Okayama University of Science
Hirotaka Inoue , Okayama University of Science
pp. 2231

Input Window Size and Neural Network Predictors (Abstract)

N. Davey , University of Hertfordshire
R.J. Frank , University of Hertfordshire
S.P. Hunt , University of Hertfordshire
pp. 2237

On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals (Abstract)

Craig L. Fancourt , University of Florida at Gainesville
Jose C. Principe , University of Florida at Gainesville
pp. 2243
Session TE6: Symbolic and Sub-Symbolic Computation I

Complex Preferences for the Integration of Neural Codes (Abstract)

Stefan Wermter , University of Sunderland
Christo Panchev , University of Sunderland
pp. 2253

Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition (Abstract)

Michal Stancík , Slovak Technical University
Peter Tino , Slovak Technical University
Lubica Benu?ková , Slovak Technical University
pp. 2265

Refining Hidden Markov Models with Recurrent Neural Networks (Abstract)

T. Wessels , University of Stellenbosch
C.W. Omlin , University of Stellenbosch
pp. 2271
Session TE8: Pattern Recognition II

A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data (Abstract)

Nicolaos B. Karayiannis , University of Houston
Ralf Kretzschmar , Swiss Federal Institute of Technology
Hans Richner , Swiss Federal Institute of Technology
pp. 2279

On the Performance of the HONG Network for Pattern Classification (Abstract)

Ajantha S. Atukorale , University of Queensland
P.N. Suganthan , Nanyang Technological University
Tom Downs , University of Queensland
pp. 2285

Incorporating a priori Knowledge into Initialized Weights for Neural Classifier (Abstract)

Tian-Jin Feng , Ocean University of Qingdao
Zhe Chen , Ocean University of Qingdao
Zweitze Houkes , Twente University
pp. 2291

Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images (Abstract)

Antanas Verikas , Halmstad University and Kaunas University of Technology
Kerstin Malmqvist , Halmstad University
Marija Bacauskiene , Kaunas University of Technology
pp. 2297
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