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Design of Multi-Layer Neural Networks for Accurate Identification of Nonlinear Mappings

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3 Author(s)
Teixeira, Edilberto ; Case W. R. University, Systems Engineering Department, Cleveland, Ohio; University of Uberlandia, Brazil; Graduate Program of UNICAMP/FEE/DCA. ; Loparo, K. ; Gomide, Fernando A.C.

Guidelines for the design of multi-layer neural networks for the identification of nonlinear mappings are considered in this work. Since nonlinear mappings can be approximated by a one hidden layer neural network, an approach to determine the sufficient number of hidden layer nodes to achieve a global minima of the identification error function is considered.

Published in:

American Control Conference, 1991

Date of Conference:

26-28 June 1991

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