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Stability and Synchronization Control of Stochastic Neural Networks / by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong

By: Zhou, Wuneng
Contributor(s): SpringerLink (Online service) | Yang, Jun | Zhou, Liuwei | Tong, Dongbing
Material type: materialTypeLabelE-bookSeries: Studies in Systems, Decision and Control; 3535Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2016Edition: 1st ed.Description: 1 recurso en línea (XVI, 357 p.) : 82 ilustraciones, 80 ilustraciones en color.ISBN: 9783662478332.Subject: Redes neuronales artificialesDDC classification: 629.8 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Summary: 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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.87 Z46 2016 EB (Browse shelf(Opens below)) .i11599194 Acceso electrónico eBOOK .i11599194
Total holds: 0

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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