THE UD RLS ALGORITHM FOR TRAINING FEEDFORWARD NEURAL NETWORKS

被引：0

作者：

Bilski, Jaroslaw ^{[1
]}

机构：

[1] Czestochowa Tech Univ, Dept Comp Engn, Ul Armii Krajowej 36, PL-42200 Czestochowa, Poland

来源：

INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE | 2005年 / 15卷 / 01期

关键词：

neural networks; learning algorithms; recursive least squares method; UD factorization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new algorithm for training feedforward multilayer neural networks is proposed. It is based on recursive least squares procedures and U-D factorization, which is a well-known technique in filter theory. It will be shown that due to the U-D factorization method, our algorithm requires fewer computations than the classical RLS applied to feedforward multilayer neural network training.

引用

页码：115 / 123

页数：9

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