Table of contents

  1. Front Matter
  2. Panos A. Ligomenides
    Pages 1-10
  3. T. Ikeguchi, M. Adachi, K. Aihara
    Pages 17-24
  4. P. L. Garrido, J. Marro
    Pages 25-32
  5. C. Jutten, A. Guerin, H. L. Nguyen Thi
    Pages 54-61
  6. J. Levendovszky, W. Mommaerts, E. C. van der Meulen
    Pages 62-68
  7. Amparso Sacristán, Elena Valderrama, Conrado Pérez-Vicente
    Pages 69-77
  8. J. Mira, A. E. Delgado
    Pages 93-100
  9. K. N. Leibovic, R. Moreno-Diaz Jr.
    Pages 109-115
  10. José M. Salinas, Vernon G. Dobson
    Pages 116-123
  11. J. Simões da Fonseca, J. Maltez, Isabel Barahona da Fonseca
    Pages 124-129
  12. Ignacio Bellido, Gregorio Fernández
    Pages 130-135
  13. E. Elizalde, S. Gómez, A. Romeo
    Pages 136-143
  14. C. J. Pérez Vicente, J. Carrabina, F. Garrido, E. Valderrama
    Pages 144-152

About these proceedings

Introduction

Artificial neural networks are massively parallel interconnected networks ofsimple elements which are intended to interact with the objects of the real world in the same way as biological nervous systems do. Interest in these networks is due to the opinion that they are able to perform tasks like image and speech recognition that have only been implemented in limited ways by traditional computing methods. This book includes invited lectures and the full contributions to the International Workshop onArtificial Neural Networks held in Granada, Spain, September 17-19, 1991. The workshop was sponsored by the IEEE Computer Society, the Spanish Association for Computing and Automatics, and the University of Granada. The contributions were selected by an international program committee; the authors of the papers come from 12 countries. The book is organized in six sections, covering: - Neural network theories and neural models - Biological perspectives - Neural network architectures and algorithms - Software developments and tools - Hardware implementations - Applications.

Keywords

Artificial Neural Networks Interconnected Networks Nicht-numerische Algorithmen Nonnumerical Algorithms Pattern Recognition Special Purpose Computers Spezialcomputer VLSI Systems VLSI-Systeme artificial neural network cognition neural network speech recognition

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0035870
  • Copyright Information Springer-Verlag 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-54537-8
  • Online ISBN 978-3-540-38460-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book