World Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting / Edition 1

World Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting / Edition 1

ISBN-10:
080581745X
ISBN-13:
9780805817454
Pub. Date:
06/01/1994
Publisher:
Taylor & Francis
ISBN-10:
080581745X
ISBN-13:
9780805817454
Pub. Date:
06/01/1994
Publisher:
Taylor & Francis
World Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting / Edition 1

World Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting / Edition 1

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Overview

organizing committee:

Paul Werbos, Chairman, National Science Foundation

Harold Szu, Naval Surface Warfare Center

Bernard Widrow, Stanford University

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants — from a diverse background encompassing industry, academia, and government — with the latest research and applications in the neural network field.

Product Details

ISBN-13: 9780805817454
Publisher: Taylor & Francis
Publication date: 06/01/1994
Series: INNS Series of Texts, Monographs, and Proceedings Series
Pages: 860
Product dimensions: 8.25(w) x 11.00(h) x (d)

About the Author

Organizing committee: Paul Werbos, Chairman, National Science Foundation, Harold Szu, Naval Surface Warfare Center, Bernard Widrow, Stanford University

Table of Contents

Main Topics Include: Volume I: Plenaries. Biomedical Applications of Neural Networks. Commercial and Industrial Applications of Neural Networks. Application of Neural Networks in the Chemical Process Industries. Mind, Brain, and Consciousness. Applications. Machine Vision. Neural Fuzzy Systems. Volume II: Neurocontrol and Robotics. Prediction and System Identification. Mathematical Foundations. Hardware Implementations. Biological Neural Networks. Volume III: Signal Processing. Pattern Recognition. Supervised Learning. Volume IV: Associative Memory. Unsupervised Learning. Biological Vision. Circuits and System Neuroscience. Links to Cognitive Science & Artificial Intelligence. Speech and Language. Cognitive Neuroscience. Neurodynamics and Chaos.
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