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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhou, Wuneng (Autor), Yang, Jun (Autor), Zhou, Liuwei (Autor), Tong, Dongbing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Systems, Decision and Control, 35
Temas:
Control engineering.
Neural networks (Computer science) .
Computational intelligence.
Control and Systems Theory.
Mathematical Models of Cognitive Processes and Neural Networks.
Computational Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVI, 357 p. 82 illus., 80 illus. in color. online resource.
ISBN:9783662478332
ISSN:2198-4190 ;

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