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《Computing Technology and Automation》 2002-01
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Stability Analysis for Several Classes of Dynamical Feedback Neural Networks

WANG Ling,ZHENG Dazhong (Dept.of Automation,Tsinghua University,Beijing 100084)  
Stability analysis is an important topic for dynamical feedback neural networks, which provides certain guidance for the their design and applications. Aimed at several classes of typical dynamical feedback neural networks, including discrete network,nonsymmetry network and timedelay network, some stable conditions are obtained by using Lyapunov method.
【Fund】: 国家自然科学基金项目 (6 0 0 74 2 0 12 );; 国家攀登计划项目 (970 2 110 17)
【CateGory Index】: TP183
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【References】
Chinese Journal Full-text Database 2 Hits
1 LI Yuping1,ZHANG Suqing2,YE Shiwei2(1.Institute of Crustal Dynamics,China Earthquake Administration,Beijing 100085;2.Graduate School of Chinese Academy of Sciences,Beijing 100049);Stability Analysis to Hopfield Network Based on Convex Function Theory[J];Computer Engineering;2006-15
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1 XIAN Ji-qing~1, LANG Feng-hua~2(1.School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;2.School of Computer, Chongqing University of Posts and Telecommunications, Chongqing 400065, China);Anomaly Detection Method Based on CSA-Based Unsupervised Fuzzy Clustering Algorithm[J];Journal of Beijing University of Posts and Telecommunications;2005-04
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【Secondary References】
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1 JI Ce,ZHANG Hua-guang,GUAN Huan-xin(Institute of Information Science and Engineering,Northeastern University,Shenyang,Liaoning 110004,China);New Criteria for Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays[J];Acta Electronica Sinica;2007-01
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