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Dealing with Complexity

A Neural Networks Approach

  • Mirek Kárný
  • Kevin Warwick
  • Vera Kůrková

Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 1-12
  3. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 13-28
  4. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 29-46
  5. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 47-61
  6. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 62-75
  7. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 76-92
  8. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 93-109
  9. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 110-125
  10. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 126-140
  11. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 141-157
  12. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 158-176
  13. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 177-188
  14. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 189-204
  15. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 205-219
  16. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 220-237
  17. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 238-251
  18. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 252-263
  19. Mirek Kárný, Kevin Warwick, Vera Kůrková
    Pages 264-303
  20. Back Matter
    Pages 304-308

About this book

Introduction

In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered possible a decade or two ago is now not only possible but is also part of everyday practice. As a result, a new approach usually needs to be taken (in order) to get the best out of a situation. What is required is now a computer's eye view of the world. However, all is not rosy in this new world. Humans tend to think in two or three dimensions at most, whereas computers can, without complaint, work in n­ dimensions, where n, in practice, gets bigger and bigger each year. As a result of this, more complex problem solutions are being attempted, whether or not the problems themselves are inherently complex. If information is available, it might as well be used, but what can be done with it? Straightforward, traditional computational solutions to this new problem of complexity can, and usually do, produce very unsatisfactory, unreliable and even unworkable results. Recently however, artificial neural networks, which have been found to be very versatile and powerful when dealing with difficulties such as nonlinearities, multivariate systems and high data content, have shown their strengths in general in dealing with complex problems. This volume brings together a collection of top researchers from around the world, in the field of artificial neural networks.

Keywords

artificial intelligence artificial neural network control convergence fuzzy system learning machine learning mathematics memory modeling neural computation neural networks optimization simulation training

Editors and affiliations

  • Mirek Kárný
    • 1
  • Kevin Warwick
    • 2
  • Vera Kůrková
    • 3
  1. 1.Institute of Information Theory & AutomationPrague 8Czech Republic
  2. 2.Department of CyberneticsUniversity of ReadingWhiteknights, ReadingUK
  3. 3.Institute of Computer ScienceAcademy of Sciences of the Czech RepublicPrague 8Czech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-1523-6
  • Copyright Information Springer-Verlag London 1998
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-76160-0
  • Online ISBN 978-1-4471-1523-6
  • Series Print ISSN 1431-6854
  • Buy this book on publisher's site