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题名: Chaotic neural network with nonlinear self-feedback and its application in optimization
作者: Zhou, CS ;  Chen, TL ;  Huang, WQ
刊名: NEUROCOMPUTING
出版日期: 1997
卷号: 14, 期号:3, 页码:209-222
关键词: TRAVELING SALESMAN PROBLEM
学科分类: Physics
通讯作者: Zhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
部门归属: CCAST,WORLD LAB,BEIJING 100080,PEOPLES R CHINA; ACAD SINICA,INST THEORET PHYS,BEIJING 100080,PEOPLES R CHINA
英文摘要: When 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.
收录类别: SCI
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/12508
Appears in Collections:理论物理所1978-2010年知识产出_期刊论文

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Recommended Citation:
Zhou, CS,Chen, TL,Huang, WQ. Chaotic neural network with nonlinear self-feedback and its application in optimization[J]. NEUROCOMPUTING,1997,14(3):209-222.
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