ITP OpenIR  > 理论物理所SCI论文
Chaotic neural network with nonlinear self-feedback and its application in optimization
Zhou, CS; Chen, TL; Huang, WQ; Zhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
1997
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号14期号:3页码:209-222
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.
部门归属CCAST,WORLD LAB,BEIJING 100080,PEOPLES R CHINA; ACAD SINICA,INST THEORET PHYS,BEIJING 100080,PEOPLES R CHINA
关键词Traveling Salesman Problem
学科领域Physics
收录类别SCI
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/12508
专题理论物理所SCI论文
通讯作者Zhou, CS , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
推荐引用方式
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Chaotic neural netwo(844KB) 开放获取使用许可请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhou, CS]的文章
[Chen, TL]的文章
[Huang, WQ]的文章
百度学术
百度学术中相似的文章
[Zhou, CS]的文章
[Chen, TL]的文章
[Huang, WQ]的文章
必应学术
必应学术中相似的文章
[Zhou, CS]的文章
[Chen, TL]的文章
[Huang, WQ]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。