A fuzzy rule based backpropagation method for training binary multilayer perceptrons

Authors:
Miguel Delgado;Carlos Javier Mantas;Claudio Moraga
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain;Universität Dortmund, FB Informatik, 4421 Dorimund, Deutschland, Germany
Venue:
Information Sciences: an International Journal
Year:
1999

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Abstract

In this paper, a general method to train binary multilayer perceptrons is presented. This method is based on the use of fuzzy rules to upgrade the weights as well as to state the desired output of the neurons of the hidden layers. The version for networks with one hidden layer and one output neuron is carefully described and illustrated with examples.