2019
DOI: 10.22363/2413-3639-2019-65-1-44-53
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A Fuzzy MLP Approach for Identification of Nonlinear Systems

Abstract: In case of decision making problems, identification of non-linear systems is an important issue. Identification of non-linear systems using a multilayer perceptron (MLP) trained with back propagation becomes much complex with an increase in number of input data, number of layers, number of nodes, and number of iterations in computation. In this paper, an attempt has been made to use fuzzy MLP and its learning algorithm for identification of non-linear system. The fuzzy MLP and its training algorithm which allows … Show more

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