Stability and Synchronization Control of Stochastic Neural Networks [electronic resource] / by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong.
By: Zhou, Wuneng [author.]
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Contributor(s): Yang, Jun [author.] | Zhou, Liuwei [author.] | Tong, Dongbing [author.] | SpringerLink (Online service).
Material type: 
BookSeries: Studies in Systems, Decision and Control: 35Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XVI, 357 p. 82 illus., 80 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662478332.Subject(s): Control engineering | Neural networks (Computer science) | Computational intelligence | Control and Systems Theory | Mathematical Models of Cognitive Processes and Neural Networks | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access online Relative Mathematic Foundation -- Asymptotical and Exponential Stability and Synchronization for NN -- Robust Stability and Synchronization for NN -- Adaptive Stability and Synchronization for NN -- Stability and Synchronization for Neutral-type NN -- Stability and Synchronization for NN with Levy Noise -- Some Applications to Finance Based-on NN.
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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