Stability and Synchronization Control of Stochastic Neural Networks

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ISBN-13:
9783662517161
Veröffentl:
2016
Einband:
Paperback
Erscheinungsdatum:
23.08.2016
Seiten:
376
Autor:
Wuneng Zhou
Gewicht:
569 g
Format:
235x155x21 mm
Serie:
35, Studies in Systems, Decision and Control
Sprache:
Englisch
Beschreibung:

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.
Introduces for the first time the stochastic disturbance driven by Levy process in modeling stochastic neural networks
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.

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