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ORCIDIJCNN 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 2. IEEE Computer Society 2000
Plenary Talk
- Teuvo Kohonen:
Self-Organizing Maps of Massive Document Collections. 3-12
Statistical Frameworks for Learning
- Tatsuhiko Nobori, Nobuyuki Matsui:
Stochastic Resonance Neural Network and Its Performance. 13-17 - Jörg C. Lemm:
Bayesian Field Theory: Nonparametric Approaches to Density Estimation. 18-22 - Koji Tsuda, Shotaro Akaho:
Large Margin Classifier via Semiparametric Inference. 23-28 - Francesco Masulli, Giorgio Valentini:
Parallel Non Linear Dichotomizers. 29-36
Neurocognition I
- Masayuki Kikuchi, Kunihiko Fukushima:
Pattern Recognition with Eye Movement: A Neural Network Model. 37-40 - Jean-Paul Banquet, Yves Burnod, Philippe Gaussier, Arnaud Revel:
A Hippocampal Model of Visually Guided Navigation as Implemented by a Mobile Agent. 41-48
Hardware Implementation I
- Tamás Szabó, Lörinc Antoni, Gábor Horváth, Béla Fehér:
A Full-Parallel Digital Implementation for Pre-Trained NNs. 49-54 - Denis Teixeira Franco, Luigi Carro:
FPGA Architecture Comparison for Non-Conventional Signal Processing. 55-58 - Bernard Girau:
Building a 2D-Compatible Multilayer Neural Network. 59-64 - Yuzo Hirai, Kuninori Nishizawa:
Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit. 65-70 - Hiroomi Hikawa:
Pulse Mode Multilayer Neural Network with Floating Point Operation and On-Chip Learning. 71-80
Special Session on 'From Subsymbolic Neural Network Representations to Symbols'
- Asim Roy:
A Theory of the Brain: There Are Parts of the Brain That Control Other Parts. 81-86 - Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk:
A General Framework for Symbol and Rule Extraction in Neural Networks. 87-92 - Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas
, Bruno Apolloni:
On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System. 93-98 - John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas:
Constructing Symbols as Manipulable Structures by Recurrent Networks. 99-104 - Ron Sun:
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. 105-112
Multilayer Perceptrons III
- D. Randall Wilson, Tony R. Martinez:
The Inefficiency of Batch Training for Large Training Sets. 113-117 - Alois P. Heinz:
Tree-Structured Neural Networks: Efficient Evaluation of Higher-Order Derivatives and Integrals. 118-122 - Takeshi Kamio, Shinichiro Tanaka, Mititada Morisue:
Backpropagation Algorithm for Logic Oriented Neural Networks. 123-128 - Sven Buchholz, Gerald Sommer:
A Hyperbolic Multilayer Perceptron. 129-136
Pattern Recognition I
- Kiyomi Nakamura, Noriki Kinoshita, Hirokazu Kanayama, Takashi Minami:
Spreading Associative Neural Network Recognizes the Shape and Position of an Object Simultaneously. 137-142 - Fumiaki Takeda, Toshihiro Nishikage:
Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro Currency. 143-147 - Terje Kristensen:
A Neural Network Approach to Hyphenating Norwegian. 148-153 - Jani Lahtinen, Tomas Martinsen, Jouko Lampinen:
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography. 154-158 - Marcello Castellano, Giuseppe Mastronardi, Vitoantonio Bevilacqua, E. Nappi:
Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm. 159-
Supervised Learning III
- Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio:
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application. 167-172 - Andrew Hunter:
Training Feedforward Neural Networks Using Orthogonal Iteration of the Hessian Eigenvectors. 173-178 - Pitoyo Hartono, Shuji Hashimoto:
Effective Learning in Noisy Environment Using Neural Network Ensemble. 179-184 - Francesco Diotalevi, Maurizio Valle, Daniele D. Caviglia:
Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures. 185-190 - Christian Goerick:
Analyzing Learning Dynamics: How to Average?. 191-198
Neurocognition II
- Si Wu, Danmei Chen, Shun-ichi Amari:
Unfaithful Population Decoding. 199-204 - Winfried A. Fellenz, John G. Taylor:
The Hidden Layer Associative Memory Model of Hippocampus. 205-210 - Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier:
Frequency-Based Error Back-Propagation in a Cortical Network. 211-216 - Neill R. Taylor, John G. Taylor:
Is There More to TSSG than Associative Chaining (Chunking and All That)? 217-224
Time Series Prediction I
- Hiroshi Wakuya, Jacek M. Zurada:
Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style. 225-230 - Hirotaka Inoue, Hiroyuki Narihisa:
Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks. 231-236 - Ray J. Frank, Neil Davey, Stephen P. Hunt:
Input Window Size and Neural Network Predictors. 237-242 - Craig L. Fancourt, José C. Príncipe:
On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals. 243-252
Symbolic and Sub-Symbolic Computation I
- Christo Panchev, Stefan Wermter:
Complex Preferences for the Integration of Neural Codes. 253-258 - Alberto Paccanaro, Geoffrey E. Hinton:
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. 259-264 - Peter Tiño, Michal Stancík, Lubica Benusková:
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition. 265-270 - T. Wessels, Christian W. Omlin:
Refining Hidden Markov Models with Recurrent Neural Networks. 271-278
Pattern Recognition II
- Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data. 279-284 - Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan:
On the Performance of the HONG Network for Pattern Classification. 285-290 - Zhe Chen, Tian-Jin Feng, Zweitze Houkes:
Incorporating a priori Knowledge into Initialized Weights for Neural Classifier. 291-296 - Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene:
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images. 297
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