CSpace
A neural network for the linear complementarity problem
Liao, LZ
1999-02-01
发表期刊MATHEMATICAL AND COMPUTER MODELLING
ISSN0895-7177
卷号29期号:3页码:9-18
摘要An artificial neural network is proposed in this paper for solving the linear complementarity problem. The new neural network is based on a reformulation of the linear complementarity problem into the unconstrained minimization problem. Our new neural network can be easily implemented on a circuit. On the theoretical aspect, we analyze the existence of the equilibrium points for our neural network. In addition, we prove that if the equilibrium point exists for the neural network, then any such equilibrium point is both asymptotically and bounded (Lagrange) stable for any initial state. Furthermore, linear programming and certain quadratical programming problems (not necessarily convex) can be also solved by the neural network. Simulation results on several problems including a nonconvex one are also reported. (C) 1999 Elsevier Science Ltd. All rights reserved.
关键词neural network linear complementarity problem stability
语种英语
WOS研究方向Computer Science ; Mathematics
WOS类目Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号WOS:000079388600002
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/14862
专题中国科学院数学与系统科学研究院
通讯作者Liao, LZ
作者单位1.Hong Kong Baptist Univ, Dept Math, Hong Kong, Hong Kong
2.Chinese Acad Sci, Inst Computat Math & Sci Engn Comp, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Liao, LZ. A neural network for the linear complementarity problem[J]. MATHEMATICAL AND COMPUTER MODELLING,1999,29(3):9-18.
APA Liao, LZ.(1999).A neural network for the linear complementarity problem.MATHEMATICAL AND COMPUTER MODELLING,29(3),9-18.
MLA Liao, LZ."A neural network for the linear complementarity problem".MATHEMATICAL AND COMPUTER MODELLING 29.3(1999):9-18.
条目包含的文件
条目无相关文件。
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
[Liao, LZ]的文章
百度学术
百度学术中相似的文章
[Liao, LZ]的文章
必应学术
必应学术中相似的文章
[Liao, LZ]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。