Stability and synchronization control of stochastic neural networks
Author(s)
Bibliographic Information
Stability and synchronization control of stochastic neural networks
（Studies in systems, decision and control / series editor Janusz Kacprzyk, 35）
Springer-Verlag, c2016
- : hbk
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Note
other authors: Jun Yang, Liuwei Zhou, Dongbing Tong
Includes bibliographical references and index
Description and Table of Contents
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.
Table of Contents
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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