Neural Networks: A Systematic Introduction

Description

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.

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Other editions

• 

  Neural Networks: An Introduction

  • 2012-12-06
  • 331 pages
  • Paperback
  • Springer Science & Business Media
• 

  Neural Networks: An Introduction

  • 1995-10-02
  • 331 pages
  • Paperback
  • Springer Science & Business Media
• 

  Neural Networks: Deep Learning and Machine Learning Outlined

  • 2018-06-23
  • 37 pages
  • Paperback
  • Independently Published
• 

  Neural Networks: Tricks of the Trade

  • 2012-11-14
  • 769 pages
  • Ebook
  • Springer

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