Linear Simultaneous Equations’ Neural Solution and its Application to Convex Quadratic Programming with Equality-Constraint

	Linear Simultaneous Equations’ Neural Solution and its Application to Convex Quadratic Programming with Equality-Constraint
	Yuhuan Chen; Chenfu Yi; Jian Zhong
刊名	JOURNAL OF APPLIED MATHEMATICS
	2013
英文摘要	A gradient-based neural network (GNN) is improved and presented for the linear algebraic equation solving. Then, such a GNN model is used for the online solution of the convex quadratic programming (QP) with equality-constraints under the usage of Lagrangian function and Karush-Kuhn-Tucker (KKT) condition. According to the electronic architecture of such a GNN, it is known that the performance of the presented GNN could be enhanced by adopting different activation function arrays and/or design parameters. Computer simulation results substantiate that such a GNN could obtain the accurate solution of the QP problem with an effective manner.
收录类别	SCI
原文出处	http://www.hindawi.com/journals/jam/2013/695647/abs/
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4841]
专题	深圳先进技术研究院_医工所
作者单位	JOURNAL OF APPLIED MATHEMATICS
推荐引用方式 GB/T 7714	Yuhuan Chen,Chenfu Yi,Jian Zhong. Linear Simultaneous Equations’ Neural Solution and its Application to Convex Quadratic Programming with Equality-Constraint[J]. JOURNAL OF APPLIED MATHEMATICS,2013.
APA	Yuhuan Chen,Chenfu Yi,&Jian Zhong.(2013).Linear Simultaneous Equations’ Neural Solution and its Application to Convex Quadratic Programming with Equality-Constraint.JOURNAL OF APPLIED MATHEMATICS.
MLA	Yuhuan Chen,et al."Linear Simultaneous Equations’ Neural Solution and its Application to Convex Quadratic Programming with Equality-Constraint".JOURNAL OF APPLIED MATHEMATICS (2013).