Neural Networks Theory

  • Alexander I. Galushkin

Table of contents

  1. Front Matter
    Pages I-XX
  2. Introduction

    1. Pages 1-32
  3. The Structure of Neural Networks

  4. Optimal Models of Neural Networks

  5. Adaptive Neural Networks

  6. Neural Network Reliability and Diagnostics

    1. Front Matter
      Pages 303-303
  7. Conclusion

  8. Back Matter
    Pages 377-396

About this book


"Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world."

Robert Hecht Nielsen, Computational Neurobiology, University of California, San Diego

"Professor Galushkin’s monograph has many unique features that in totality make his work an important contribution to the literature of neural networks theory. He and his publisher deserve profuse thanks and congratulations from all who are seriously interested in the foundations of neural networks theory, its evolution and current status."

Lotfi Zadeh, Berkeley, Founder of Fuzziness

"Professor Galushkin, a leader in neural networks theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization, concepts that are solidly grounded in Russian tradition. His theory is expansive: covering not just the traditional topics such as network architecture, it also addresses neural continua in function spaces. I am pleased to see his theory presented in its entirety here, for the first time for many, so that the both theory he developed and the approach he took to understand such complex phenomena can be fully appreciated."

Sun-Ichi Amari, Director of RIKEN Brain Science Institute RIKEN


Applications of Fuzzy Logic Fuzziness Fuzzy Logic Matlab Signal algorithm algorithms architecture artificial intelligence calculus complexity complexity theory nonlinear dynamics optimization

Authors and affiliations

  • Alexander I. Galushkin
    • 1
  1. 1.Department NeurocomputersMoscow Institute of Physics & TechnologyDolgoprudniy Moskva RegionRussia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-48124-9
  • Online ISBN 978-3-540-48125-6
  • Buy this book on publisher's site