大葉大學圖書館 |

Qualitative analysis and control of complex neural networks with delays[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.32
書名/作者:	Qualitative analysis and control of complex neural networks with delays/ by Zhanshan Wang, Zhenwei Liu, Chengde Zheng.
作者:	Wang, Zhanshan.
其他作者:	Liu, Zhenwei.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xiv, 388 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science)
標題:	Qualitative research.
標題:	Engineering.
標題:	Vibration, Dynamical Systems, Control.
標題:	Complexity.
標題:	Control.
標題:	Power Electronics, Electrical Machines and Networks.
ISBN:	9783662474846
ISBN:	9783662474839
內容註:	Introduction to Neural Networks -- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning -- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-47484-6

Qualitative analysis and control of complex neural networks with delays[electronic resource] /
Wang, Zhanshan.

Qualitative analysis and control of complex neural networks with delays[electronic resource] /by Zhanshan Wang, Zhenwei Liu, Chengde Zheng. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xiv, 388 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.342198-4182 ;. - Studies in systems, decision and control ;v.7..

Introduction to Neural Networks -- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning -- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.

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.

ISBN: 9783662474846

Standard No.: 10.1007/978-3-662-47484-6doiSubjects--Topical Terms:

386157
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Qualitative analysis and control of complex neural networks with delays[electronic resource] /
LDR:02433nam a2200337 a 4500 001 454317
003 DE-He213
005 20160713115953.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783662474846 $q (electronic bk.)
020 $a 9783662474839 $q (paper)
024 7 $a 10.1007/978-3-662-47484-6 $2 doi
035 $a 978-3-662-47484-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a TGMD4 $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a SCI018000 $2 bisacsh
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .W246 2016
100 1 $a Wang, Zhanshan. $3 651679
245 1 0 $a Qualitative analysis and control of complex neural networks with delays $h [electronic resource] / $c by Zhanshan Wang, Zhenwei Liu, Chengde Zheng.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2016.
300 $a xiv, 388 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.34
505 0 $a Introduction to Neural Networks -- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning -- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.
520 $a 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.
650 0 $a Neural networks (Computer science) $3 386157
650 0 $a Qualitative research. $3 191505
650 1 4 $a Engineering. $3 372756
650 2 4 $a Vibration, Dynamical Systems, Control. $3 463890
650 2 4 $a Complexity. $3 464233
650 2 4 $a Control. $3 463886
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 464716
700 1 $a Liu, Zhenwei. $3 651680
700 1 $a Zheng, Chengde. $3 651681
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.7. $3 589058
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-47484-6
950 $a Engineering (Springer-11647)