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 :
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