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Parameters identification problems for Hopfield-type neural network equations
Wang, QF; Feng, DX; Cheng, DZ
2004-05-05
发表期刊APPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
卷号152期号:2页码:535-550
摘要This work is to discuss the identification problem of distributed parameter systems given by Hopfield-type neural network equations using classical optimal control theory. More rationally, we consider diffusion term in our model different from other models, in which the parameters appearing in diffusion term, linear term and nonlinear term. We prove the existence of optimal parameters and state the necessary conditions on optimizing parameters for the output error criterion give by quadratic cost. (C) 2003 Elsevier Inc. All rights reserved.
关键词distributed Hopfield-type neural networks identification problems optimal parameters necessary condition for optimality
DOI10.1016/S0096-3003(03)00575-7
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000222949600017
出版者ELSEVIER SCIENCE INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/747
专题中国科学院数学与系统科学研究院
通讯作者Wang, QF
作者单位Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
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Wang, QF,Feng, DX,Cheng, DZ. Parameters identification problems for Hopfield-type neural network equations[J]. APPLIED MATHEMATICS AND COMPUTATION,2004,152(2):535-550.
APA Wang, QF,Feng, DX,&Cheng, DZ.(2004).Parameters identification problems for Hopfield-type neural network equations.APPLIED MATHEMATICS AND COMPUTATION,152(2),535-550.
MLA Wang, QF,et al."Parameters identification problems for Hopfield-type neural network equations".APPLIED MATHEMATICS AND COMPUTATION 152.2(2004):535-550.
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