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Fuzzy Control of Back-Propagation Training

Michael Negnevitsky and Martin J. Ringrose

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.

Keywords: Neural network, Back-propagation, Fuzzy controller

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