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Zhou, CS; Chen, TL; Huang, WQ; Zhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
Chaotic neural network with nonlinear self-feedback and its application in optimization
Source PublicationNEUROCOMPUTING
KeywordTraveling Salesman Problem
AbstractWhen a special nonlinear self-feedback is introduced into the Hopfield model, the network becomes a chaotic one. Chaotic dynamics of the system can prevent its state from staying at local minima of the energy indefinitely. The system then gets the ability to transfer chaotically among local minima, which can be employed to solve optimization problems. With autonomous adjustment of the parameters, the system can realize the global optimal solution eventually or approximately with transient chaos. Simulations on the Traveling Salesman Problem (TSP) have shown that the proposed chaotic neural network can converge to the global minimum or its approximate solutions more efficiently than the Hopfield network.
1997
ISSN0925-2312
Volume14Issue:3Pages:209-222
Subject AreaPhysics
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.itp.ac.cn/handle/311006/12508
Collection理论物理所科研产出_SCI论文
Corresponding AuthorZhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
Recommended Citation
GB/T 7714
Zhou, CS,Chen, TL,Huang, WQ,et al. Chaotic neural network with nonlinear self-feedback and its application in optimization[J]. NEUROCOMPUTING,1997,14(3):209-222.
APA Zhou, CS,Chen, TL,Huang, WQ,&Zhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA..(1997).Chaotic neural network with nonlinear self-feedback and its application in optimization.NEUROCOMPUTING,14(3),209-222.
MLA Zhou, CS,et al."Chaotic neural network with nonlinear self-feedback and its application in optimization".NEUROCOMPUTING 14.3(1997):209-222.
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