Modified Hopfield Neural Network Approach for Solving Nonlinear Algebraic Equations

被引：0
|
作者：
Mishra, Deepak [1 ]
Kalra, Prem K. [1 ]
机构：
[1] IIT Kanpur, Dept Elect Engn, Kanpur, Uttar Pradesh, India
来源：
ENGINEERING LETTERS | 2007年 / 14卷 / 01期
关键词：
Modified Hopfield network; Optimization; Nonlinear algebraic equations; Newton's method; Energy function;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we present an neural network approach to solve a set of nonlinear equations. A modified Hopfield network has been developed to optimize a energy function. This approach provides faster convergence and extremely accurate solutions for all solvable systems. We solved and discussed several illustrative examples in order to depict the powerfulness of the proposed method.
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页数：8
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