ENGLISH

Stability and Synchronization Control of Stochastic Neural Networks

By Jun Yang , Wuneng Zhou , Liuwei Zhou , Dongbing Tong (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2016
ISBN
978-3-662-47832-5, 978-3-662-47833-2
DOI
10.1007/978-3-662-47833-2
Language
english
Format
PDF
Filesize
7 MB (7320784 bytes)
Series
Studies in Systems, Decision and Control 35
Edition
1
Pages
XVI, 357\367
Time added
2015-11-25 16:51:03
Control; Mathematical Models of Cognitive Processe

Description

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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