Computation of eigenvalues and eigenvectors of unsymmetrical real matrix based on neural network

被引：0

作者：

Yang, JG ^{[1
]}

Sun, BQ ^{[1
]}

An, H ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Comp Sci & Engn, Hangzhou 310027, Peoples R China

来源：

COMPUTER SCIENCE AND TECHNOLOGY IN NEW CENTURY | 2001年

关键词：

neural network; matrix; eigenvalue; eigenvector;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate a class of neural network described by differential equation and apply it to compute the eigenvalues and eigenvectors of an unsymmetrical real matrix. We give the analytic expression of solution and also discuss its asymptotic behavior. Finally we use the asymptotic property to give a method that could compute the eigenvalue with maximal real part and the corresponding eigenvector.

引用

页码：23 / 28

页数：4

共 50 条

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