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Stability and Synchronization Control of Stochastic Neural Networks
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Stability and Synchronization Control of Stochastic Neural Networks

Softcover reprint of the original 1st ed. 2016

Book Details

Format Paperback / Softback
ISBN-10 3662517167
ISBN-13 9783662517161
Edition Softcover reprint of the original 1st ed. 2016
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture DE
Country of Publication GB
Publication Date Aug 23rd, 2016
Print length 357 Pages
Ksh 16,200.00
Werezi Extended Catalogue 0 in stock

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The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control.
This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN.

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