Table of contents

About this book


Providing an in-depth treatment of the main topics in neural networks this volume concentrates on multilayer networks and completely connected networks, as well as discussing both analog and digital networks. The central themes are dynamical behaviour, attractors and capacity. Boltzmann machines are also discussed. The subject is developed from scratch and does not use statistical physics. Because the volume adopts a pedagogical approach, explaining all steps in full, the style which the book takes it will appeal to engineers, computer scientists and applied mathematicians. The reader will learn the parameters and results that are most important for the design of neural networks and will be able to critically assess the existing commercial products or design a hardware or software implementation for him- or herself.


capacity computer design engine machine machines network neural networks physics software statistical physics

Bibliographic information

  • Book Title Neural Networks Models
  • Book Subtitle An analysis
  • Authors Philippe de Wilde
  • Series Title Lecture Notes in Control and Information Sciences
  • Series Abbreviated Title Lect Notes Control Inf Sci
  • DOI
  • Copyright Information Springer-Verlag 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-19995-3
  • eBook ISBN 978-3-540-70819-3
  • Series ISSN 0170-8643
  • Series E-ISSN 1610-7411
  • Edition Number 1
  • Number of Pages IV, 157
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Control, Robotics, Mechatronics
  • Buy this book on publisher's site
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