Stability and Synchronization Control of Stochastic Neural Networks

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....

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Detaylı Bibliyografya
Asıl Yazarlar: Zhou, Wuneng (Yazar), Yang, Jun (Yazar), Zhou, Liuwei (Yazar), Tong, Dongbing (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Studies in Systems, Decision and Control, 35
Konular:
Control engineering.
Neural networks (Computer science) .
Computational intelligence.
Control and Systems Theory.
Mathematical Models of Cognitive Processes and Neural Networks.
Computational Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XVI, 357 p. 82 illus., 80 illus. in color. online resource.
ISBN:9783662478332
ISSN:2198-4190 ;
DOI:10.1007/978-3-662-47833-2

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