Table of contents

  1. Front Matter
  2. K. N. Leibovic
    Pages 1-11
  3. Fernando J. Corbacho, Michael A. Arbib
    Pages 12-19
  4. Murciano A., Zamora J., Reviriego M.
    Pages 20-23
  5. Roberto Moreno-Díaz Jr., Olga Bolívar Toledo
    Pages 30-36
  6. J. V. Sánchez-Andrés, B. Soria
    Pages 37-42
  7. J. Mira, A. E. Delgado, J. R. Alvarez, A. P. de Madrid, M. Santos
    Pages 55-62
  8. Robert J. Scott
    Pages 63-67
  9. N. Petkov, P. Kruizinga, T. Lourens
    Pages 68-77
  10. Francisco J. Vico, F. Sandoval, J. Almaraz
    Pages 78-83
  11. Igor Aleksander, Helen Morton
    Pages 84-89
  12. Joan Lòpez-Moliner, Josep Ma Sopena
    Pages 90-95
  13. F. Castillo, J. Cabestany, J. M. Moreno
    Pages 96-101
  14. Lopez Aligué Francisco J., Acevedo Sotoca Ma Isabel, Jaramillo Moran Miguel A.
    Pages 108-113
  15. Pau Bofill, Carme Torras
    Pages 114-118
  16. Christian Jutten, Pierre Comon
    Pages 119-124

About these proceedings

Introduction

Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

Keywords

Artificial Neural Networks C++ programming language Fuzzy Künstliche Neuronale Netze Neural Architectures Neural Computation Neural Software Neuronale Architekturen Neuronale Software Selbstorganisierende Neuronale Netze classification modeling object recognition robot robotics

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-56798-4
  • Copyright Information Springer-Verlag 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56798-1
  • Online ISBN 978-3-540-47741-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book