DocumentCode
1453770
Title
On-line training and pruning for recursive least square algorithms
Author
Chi Sing Leung ; Wong, Kwok WO ; Sum, Pui Fai ; Chan, Lai Wan
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
32
Issue
23
fYear
1996
fDate
11/7/1996 12:00:00 AM
Firstpage
2152
Lastpage
2153
Abstract
The authors derive a pruning method for recursive least square (RLS) based algorithms. In this approach, training (on-line type) and pruning are combined. Simulation results showed that this approach is an effective training and pruning method for neural networks
Keywords
learning (artificial intelligence); least squares approximations; neural nets; RLS algorithms; neural networks; online pruning; online training; recursive least square algorithms;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19961443
Filename
543893
Link To Document