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Qualitative analysis and control of complex neural networks with delays
This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of t...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-47484-6 http://cds.cern.ch/record/2062554 |
_version_ | 1780948541198303232 |
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author | Wang, Zhanshan Liu, Zhenwei Zheng, Chengde |
author_facet | Wang, Zhanshan Liu, Zhenwei Zheng, Chengde |
author_sort | Wang, Zhanshan |
collection | CERN |
description | This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design. |
id | cern-2062554 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-20625542021-04-21T20:03:28Zdoi:10.1007/978-3-662-47484-6http://cds.cern.ch/record/2062554engWang, ZhanshanLiu, ZhenweiZheng, ChengdeQualitative analysis and control of complex neural networks with delaysEngineeringThis book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.Springeroai:cds.cern.ch:20625542016 |
spellingShingle | Engineering Wang, Zhanshan Liu, Zhenwei Zheng, Chengde Qualitative analysis and control of complex neural networks with delays |
title | Qualitative analysis and control of complex neural networks with delays |
title_full | Qualitative analysis and control of complex neural networks with delays |
title_fullStr | Qualitative analysis and control of complex neural networks with delays |
title_full_unstemmed | Qualitative analysis and control of complex neural networks with delays |
title_short | Qualitative analysis and control of complex neural networks with delays |
title_sort | qualitative analysis and control of complex neural networks with delays |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-662-47484-6 http://cds.cern.ch/record/2062554 |
work_keys_str_mv | AT wangzhanshan qualitativeanalysisandcontrolofcomplexneuralnetworkswithdelays AT liuzhenwei qualitativeanalysisandcontrolofcomplexneuralnetworkswithdelays AT zhengchengde qualitativeanalysisandcontrolofcomplexneuralnetworkswithdelays |