Stability and synchronization control of stochastic neural networks

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....

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Wuneng, Yang, Jun, Zhou, Liuwei, Tong, Dongbing
Lenguaje:eng
Publicado: Springer 2016
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-47833-2
http://cds.cern.ch/record/2062555
_version_ 1780948541414309888
author Zhou, Wuneng
Yang, Jun
Zhou, Liuwei
Tong, Dongbing
author_facet Zhou, Wuneng
Yang, Jun
Zhou, Liuwei
Tong, Dongbing
author_sort Zhou, Wuneng
collection CERN
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.
id cern-2062555
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
record_format invenio
spelling cern-20625552021-04-21T20:03:28Zdoi:10.1007/978-3-662-47833-2http://cds.cern.ch/record/2062555engZhou, WunengYang, JunZhou, LiuweiTong, DongbingStability and synchronization control of stochastic neural networksEngineeringThis 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.Springeroai:cds.cern.ch:20625552016
spellingShingle Engineering
Zhou, Wuneng
Yang, Jun
Zhou, Liuwei
Tong, Dongbing
Stability and synchronization control of stochastic neural networks
title Stability and synchronization control of stochastic neural networks
title_full Stability and synchronization control of stochastic neural networks
title_fullStr Stability and synchronization control of stochastic neural networks
title_full_unstemmed Stability and synchronization control of stochastic neural networks
title_short Stability and synchronization control of stochastic neural networks
title_sort stability and synchronization control of stochastic neural networks
topic Engineering
url https://dx.doi.org/10.1007/978-3-662-47833-2
http://cds.cern.ch/record/2062555
work_keys_str_mv AT zhouwuneng stabilityandsynchronizationcontrolofstochasticneuralnetworks
AT yangjun stabilityandsynchronizationcontrolofstochasticneuralnetworks
AT zhouliuwei stabilityandsynchronizationcontrolofstochasticneuralnetworks
AT tongdongbing stabilityandsynchronizationcontrolofstochasticneuralnetworks

Ejemplares similares