Stability and Synchronization Control of Stochastic Neural Networks

Nonfiction, Science & Nature, Technology, Automation, Mathematics, Applied
Cover of the book Stability and Synchronization Control of Stochastic Neural Networks by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong, Springer Berlin Heidelberg
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Author: Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong ISBN: 9783662478332
Publisher: Springer Berlin Heidelberg Publication: August 13, 2015
Imprint: Springer Language: English
Author: Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong
ISBN: 9783662478332
Publisher: Springer Berlin Heidelberg
Publication: August 13, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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