Neural networks for a class of bi-level variational inequalities

被引：0
作者：
M. H. Xu
M. Li
C. C. Yang
机构：
[1] Jiangsu Polytechnic University,School of Mathematics and Physics
[2] Southeast University,Department of Management Science and Engineering, School of Economics and Management
[3] Jiangsu Polytechnic University,School of Information Science and Engineering
来源：
Journal of Global Optimization | 2009年 / 44卷
关键词：
Bi-level variational inequality; Neural networks; Monotone mapping;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a class of bi-level variational inequalities for describing some practical equilibrium problems, which especially arise from engineering, management and economics, is presented, and a neural network approach for solving the bi-level variational inequalities is proposed. The energy function and neural dynamics of the proposed neural network are defined in this paper, and then the existence of the solution and the asymptotic stability of the neural network are shown. The simulation algorithm is presented and the performance of the proposed neural network approach is demonstrated by some numerical examples.
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页码：535 / 552
页数：17
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