Overview
- Wonderful and important book from one of the leaders in neural network theory
- A major contribution to the neural network literature
- Includes forewords by Lotfi Zadeh, Robert Hecht Nielsen and Sun-Ichi Amari
- A treasure trove that should be mined by the thousands of researchers and practitioners worldwide in neural networks who have not previously had access to the fruits of Soviet and Russian neural network research
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Table of contents (18 chapters)
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Front Matter
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Introduction
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The Structure of Neural Networks
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Front Matter
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Adaptive Neural Networks
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Front Matter
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Neural Network Reliability and Diagnostics
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Front Matter
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Keywords
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
Authors and Affiliations
Bibliographic Information
Book Title: Neural Networks Theory
Authors: Alexander I. Galushkin
DOI: https://doi.org/10.1007/978-3-540-48125-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-48124-9Published: 09 August 2007
Softcover ISBN: 978-3-642-08006-7Published: 05 November 2010
eBook ISBN: 978-3-540-48125-6Published: 29 October 2007
Edition Number: 1
Number of Pages: XX, 396
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Complex Systems, Statistical Physics and Dynamical Systems