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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.


Periodical
Advances in artificial neural systems.
Author:
ISSN: 16877608 16877594 Year: 2009 Publisher: New York, NY : Hindawi Pub. Corp.,


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


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,


Book
Data science : theory, algorithms, and applications
Author:
ISBN: 9811616817 9811616809 Year: 2021 Publisher: Gateway East, Singapore : Springer,


Book
Recurrent Neural Networks
Authors: ---
ISBN: 9783030899295 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Statistical Mechanics of Neural Networks
Authors: ---
ISBN: 9789811675706 Year: 2021 Publisher: Singapore Springer Singapore :Imprint: Springer


Book
Graph neural networks : foundations, frontiers, and applications
Author:
ISBN: 9811660530 9811660549 Year: 2022 Publisher: Singapore : Springer,

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