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Neural networks theory
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ISBN: 1281108375 9786611108373 3540481257 3540481249 Year: 2007 Publisher: Berlin ; New York : Springer,

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Abstract

"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.


Book
Cellular neural networks.
Authors: ---
ISBN: 047193836X 9780471938361 Year: 1993 Publisher: Chichester Wiley


Book
Handbook of neural computation
Authors: --- ---
ISBN: 0128113197 0128113189 9780128113196 9780128113189 Year: 2017 Publisher: Amsterdam


Book
Artificial neural networks for engineering applications
Authors: --- ---
ISBN: 0128182482 0128182474 9780128182482 9780128182475 Year: 2019 Publisher: St. Louis, Missouri


Book
Neural network modeling and identification of dynamical systems
Authors: ---
ISBN: 0128154306 0128152540 9780128154304 9780128152546 Year: 2019 Publisher: London


Book
Memristive devices for brain-inspired computing
Author:
ISBN: 0081027877 0081027826 9780081027820 9780081027820 9780081027875 Year: 2020 Publisher: Duxford Cambridge, MA


Book
Recent trends in artificial neural networks : from training to prediction
Authors: ---
ISBN: 1789854202 1789854199 Year: 2020 Publisher: London, England : IntechOpen,

Principles of artificial neural networks
Author:
ISBN: 1281121703 9786611121709 9812770577 9789812770578 9812706240 9789812706249 Year: 2007 Volume: v. 6 Publisher: New Jersey World Scientific

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Abstract

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strength


Book
Artificial neural systems
Author:
ISBN: 1681080907 9781681080901 9781681080918 Year: 2015 Publisher: Sharjah


Book
Artificial neural networks : new research
Author:
ISBN: 1634859790 9781634859790 9781634859646 Year: 2017 Publisher: New York : Nova Publishers,

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