Analysis and Application of A One-Layer Neural Network for Solving Horizontal Linear Complementarity Problems
نویسندگان
چکیده
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 under mild conditions, respectively. Meanwhile, this network is applied to solve a transportation problem and a class of the absolute equations.
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ورودعنوان ژورنال:
- Int. J. Computational Intelligence Systems
دوره 7 شماره
صفحات -
تاریخ انتشار 2014