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
收藏
页码：115 / 123
页数：9
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