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Guidelines for the selection of network architecture

Published online by Cambridge University Press:  27 February 2009

William C. Carpenter  and
Margery E. Hoffman
William C. Carpenter
Affiliation:
Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, U.S.A.
Margery E. Hoffman
Affiliation:
Naval Air Warfare Center, Aircraft Division, Patuxent River, MD 20670, U.S.A.
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Abstract

This paper is concerned with presenting guidelines to aide in the selection of the appropriate network architecture for back-propagation neural networks used as approximators. In particular, its goal is to indicate under what circumstances neural networks should have two hidden layers and under what circumstances they should have one hidden layer. Networks with one and with two hidden layers were used to approximate numerous test functions. Guidelines were developed from the results of these investigations.

Keywords

ApproximationsApproximatorsNeural Networks
Type
Articles
Information
AI EDAM , Volume 11 , Issue 5 , November 1997 , pp. 395 - 408
Copyright
Copyright © Cambridge University Press 1997

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