A fuzzy rule-based algorithm to train perceptrons
نویسندگان
چکیده
In this paper, a method to train perceptrons using fuzzy rules is presented. The fuzzy rules linguistically describe how 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 is carefully described and illustrated with examples. c © 2001 Elsevier Science B.V. All rights reserved.
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عنوان ژورنال:
- Fuzzy Sets and Systems
دوره 118 شماره
صفحات -
تاریخ انتشار 2001