DocumentCode
3453333
Title
Fuzzy control of backpropagation
Author
Arabshahi, Payman ; Choi, Jai J. ; Marks, Robert J., II ; Caudell, Thomas P.
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fYear
1992
fDate
8-12 Mar 1992
Firstpage
967
Lastpage
972
Abstract
The authors propose a fuzzy logic controlled implementation of the backpropagation training algorithm for layered perceptrons. The heuristics for adjusting the value of the learning rate η are incorporated into a simple fuzzy control system. This provides automatic tuning of the learning rate parameter depending on the shape of the error surface. The application of this straightforward procedure was shown to be able to dramatically improve training time in some problems
Keywords
backpropagation; fuzzy control; fuzzy logic; automatic tuning; backpropagation training algorithm; fuzzy control system; fuzzy logic; heuristics; layered perceptrons; learning rate; Automatic control; Backpropagation algorithms; Convergence; Feedforward neural networks; Fuzzy control; Fuzzy logic; Jacobian matrices; Multi-layer neural network; Neural networks; Shape; Time of arrival estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258787
Filename
258787
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