Artificial neural networks : proceedings of the 1991 International Conference on Artificial Neural Networks (ICANN-91), Espoo, Finland, 24-28 June, 1991

Bibliographic Information

Artificial neural networks : proceedings of the 1991 International Conference on Artificial Neural Networks (ICANN-91), Espoo, Finland, 24-28 June, 1991

edited by Teuvo Kohonen ... [et al.]

North-Holland , Distributors for the U.S. and Canada, Elsevier Science, 1991

  • v. 1
  • v. 2

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"Volume 1 contains all orally presented papers, both invited talks and submitted papers, and volume 2 contains the plenary talks and all poster presentations"--Foreword

Includes bibliographical references and index

Description and Table of Contents

Description

This two-volume proceedings compiles a selection of research papers presented at the ICANN-91. The scope of the volumes is interdisciplinary, ranging from mathematics and engineering to cognitive sciences and biology. European research is well represented. Volume 1 contains all the orally presented papers, including both invited talks and submitted papers. Volume 2 contains the plenary talks and the poster presentations.

Table of Contents

Volume 1. Mathematical Theories of Networks and Dynamical Systems. Pattern Recognition and Signal Processing I. Physics Connection. Neural Network Architectures and Algorithms I. Artificial Associative Memories. Robotics and Control. Self-Organization and Vector Quantization. Neural Knowledge Data Bases and Non-rule-based Decision Making. Biological and Physiological Connection. Software Development. Neural Network Architectures and Algorithms II. Hardware Implementations. Pattern Recognition and Signal Processing II. Commercial and Industrial Applications. Neural Models for Cognitive Science and High-Level Brain Functions. Neural Network Architectures and Algorithms III.Volume 2. Plenary Talks. Mathematical Theories of Networks and Dynamical Systems. Pattern Recognition and Signal Processing I. Physics Connection. Neural Network Architectures and Algorithms I. Artificial Associative Memories. Robotics and Control. Self-Organization and Vector Quantization. Neural Knowledge Data Bases and Non-rule-based Decision Making. Biological and Physiological Connection. Software Development. Neural Network Architectures and Algorithms II. Hardware Implementations. Pattern Recognition and Signal Processing II. Commercial and Industrial Applications. Neural Models for Cognitive Science and High-Level Brain Functions. Neural Network Architectures and Algorithms III. Author Index.

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