Numerical approximation of optimal control for distributed diffusion Hopfield neural networks

被引：9

作者：

Wang, Q. -F. ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Shatin, Hong Kong, Peoples R China

来源：

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING | 2007年 / 69卷 / 03期

关键词：

neural networks; optimal control; numerical algorithm; finite element methods;

D O I：

10.1002/nme.1769

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This work presents a numerical approximation of optimal control problems for non-linear distributed Hopfield Neural Network equations with diffusion term. For one spatial dimensional case, a semi-discrete numerical algorithm was constructed to find optimal control variable using finite element discretization, updated conjecture gradient iteration method. Furthermore, experiments demonstration will be implemented to show the effectiveness and stability through 3D graphics simulations. Copyright (c) 2006 John Wiley & Sons, Ltd.

引用

页码：443 / 468

页数：26

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