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JACIII Vol.4 No.6 pp. 408-411
doi: 10.20965/jaciii.2000.p0408
(2000)

Paper:

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Fuzzy Control of Back-Propagation Training

Michael Negnevitsky and Martin J. Ringrose

School of Engineering, University of Tasmania,
GPO Box 252-65 Hobart, Tasmania 7001 Australia

Received:
October 19, 2000
Accepted:
November 15, 2000
Published:
November 20, 2000
Creative Commons License
Keywords:
Neural network, Back-propagation, Fuzzy controller
Abstract

A fuzzy logic controller for updating training parameters in the error back-propagation algorithm is presented. The controller is based on heuristic rules for speeding up the convergence of training process, incorporating both learning rate and momentum constant changes.

Cite this article as:
Michael Negnevitsky and Martin J. Ringrose, “Fuzzy Control of Back-Propagation Training,” J. Adv. Comput. Intell. Intell. Inform., Vol.4, No.6, pp. 408-411, 2000.
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