Analysis and Application of A One-Layer Neural Network for Solving Horizontal Linear Complementarity Problems

In this paper, we analyze the stability and convergence of a one-layer neural network proposed by Gao and Wang, which is designed to solve a class of horizontal linear complementarity problems. The globally asymptotical stability and globally exponential stability of this network are proved strictly...

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Bibliographic Details

Published in:	International Journal of Computational Intelligence Systems
Main Authors:	Xingbao Gao, Jing Wang
Format:	Article
Language:	English
Published:	Springer 2014-08-01
Subjects:	Horizontal linear complementarity problem neural network stability application
Online Access:	https://www.atlantis-press.com/article/25868505.pdf