DocumentCode
3508804
Title
A learning method of multilayer neural networks for pruning hidden units
Author
Takechi, Hirochika ; Murakami, Kenji
Author_Institution
Electrotech. Lab., Shikoku Res. Inst. Inc., Matsuyama, Japan
fYear
1995
fDate
26-28 Jul 1995
Firstpage
1531
Lastpage
1534
Abstract
This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed
Keywords
adaptive systems; backpropagation; feedforward neural nets; backpropagation; hidden unit pruning; learning method; multilayer neural networks; Argon; Equations; Fault tolerance; Laboratories; Learning systems; Mean square error methods; Multi-layer neural network; Neural networks; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers
Conference_Location
Hokkaido
Print_ISBN
0-7803-2781-0
Type
conf
DOI
10.1109/SICE.1995.526961
Filename
526961
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