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Author Zhou, Wuneng, author
Title Stability and synchronization control of stochastic neural networks / by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong
Imprint Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016
book jacket
Descript 1 online resource (xvi, 357 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Studies in systems, decision and control, 2198-4182 ; volume 35
Studies in systems, decision and control ; volume 35
Note 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
Host Item Springer eBooks
Subject Neural networks (Computer science) -- Mathematical models
Engineering
Control
Mathematical Models of Cognitive Processes and Neural Networks
Computational Intelligence
Alt Author Yang, Jun, author
Zhou, Liuwei, author
Tong, Dongbing, author
SpringerLink (Online service)
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