Stability and Synchronization Control of Stochastic Neural Networks
Zhou, Wuneng
Stability and Synchronization Control of Stochastic Neural Networks by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong - 1st ed. - 1 recurso en línea (XVI, 357 p.) 82 ilustraciones, 80 ilustraciones en color - Studies in Systems, Decision and Control 35 2198-4182 . - Studies in Systems, Decision and Control 35 .
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.
9783662478332
10.1007/978-3-662-47833-2 doi
Redes neuronales artificiales
QA76.87 / Z46 2016 EB
629.8
Stability and Synchronization Control of Stochastic Neural Networks by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong - 1st ed. - 1 recurso en línea (XVI, 357 p.) 82 ilustraciones, 80 ilustraciones en color - Studies in Systems, Decision and Control 35 2198-4182 . - Studies in Systems, Decision and Control 35 .
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.
9783662478332
10.1007/978-3-662-47833-2 doi
Redes neuronales artificiales
QA76.87 / Z46 2016 EB
629.8