Skip to main content
SpringerLink
Log in

Neural Networks

A Systematic Introduction

  • Textbook
  • © 1996

Overview

Authors:
  1. Raúl Rojas

    1. Department of Mathematics and Computer Science, University of Halle, Halle, Germany
      Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 chapters)

  1. Front Matter

    Pages I-XX
    Download chapter PDF

  2. The Biological Paradigm

    • Raúl Rojas
    Pages 3-27

  3. Threshold Logic

    • Raúl Rojas
    Pages 29-53

  4. Weighted Networks—The Perceptron

    • Raúl Rojas
    Pages 55-76

  5. Perceptron Learning

    • Raúl Rojas
    Pages 77-98

  6. Unsupervised Learning and Clustering Algorithms

    • Raúl Rojas
    Pages 99-121

  7. One and Two Layered Networks

    • Raúl Rojas
    Pages 123-148

  8. The Backpropagation Algorithm

    • Raúl Rojas
    Pages 149-182

  9. Fast Learning Algorithms

    • Raúl Rojas
    Pages 183-225

  10. Statistics and Neural Networks

    • Raúl Rojas
    Pages 227-261

  11. The Complexity of Learning

    • Raúl Rojas
    Pages 263-285

  12. Fuzzy Logic

    • Raúl Rojas
    Pages 287-308

  13. Associative Networks

    • Raúl Rojas
    Pages 309-334

  14. The Hopfield Model

    • Raúl Rojas
    Pages 335-369

  15. Stochastic Networks

    • Raúl Rojas
    Pages 371-387

  16. Kohonen Networks

    • Raúl Rojas
    Pages 389-410

  17. Modular Neural Networks

    • Raúl Rojas
    Pages 411-425

  18. Genetic Algorithms

    • Raúl Rojas
    Pages 427-448

  19. Hardware for Neural Networks

    • Raúl Rojas
    Pages 449-476

  20. Back Matter

    Pages 477-502
    Download chapter PDF
Back to top

Keywords

About this book

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.

Reviews

"If you want a systematic and thorough overview of neural networks, need a good reference book on this subject, or are giving or taking a course on neural networks, this book is for you." Computing Reviews

Authors and Affiliations

  • Department of Mathematics and Computer Science, University of Halle, Halle, Germany

    Raúl Rojas

  • Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany

    Raúl Rojas

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation