Introduction

  • Igor N. Aizenberg
  • Naum N. Aizenberg
  • Joos Vandewalle
Chapter

Abstract

This chapter is an initial point of the book. A brief historical observation of neural networks, their basic architectures, types of neurons, learning algorithms will be given in Section 1.1. We motivate the approach taken in this book in Section 1.2 by considering neurons with complex-valued weights, and especially multi-valued and universal binary neurons. A Chapter by Chapter overview of the book is given in Section 1.3. Own contributions are listed in Section 1.4.

Keywords

Activation Function Boolean Function Associative Memory Threshold Function Cellular Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Igor N. Aizenberg
    • 1
  • Naum N. Aizenberg
    • 1
  • Joos Vandewalle
    • 2
  1. 1.Neural Networks Technologies Ltd.Israel
  2. 2.Departement Elektrotechniek, ESAT/SISTAKatholieke Universiteit LeuvenBelgium

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