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Neural Computation

Summer 1990, Vol. 2, No. 2, Pages 210-215
(doi: 10.1162/neco.1990.2.2.210)
© 1990 Massachusetts Institute of Technology
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
Article PDF (312.06 KB)
Eric J. Hartman
Microelectronics and Computer Technology Corp. (MCC), 3500 West Balcones Center Drive, Austin, TX 78759-6509 USA
James D. Keeler
Microelectronics and Computer Technology Corp. (MCC), 3500 West Balcones Center Drive, Austin, TX 78759-6509 USA
Jacek M. Kowalski
Department of Physics, University of North Texas, P.O. Box 5368, Denton, TX 76203-5368 USA
Abstract

A neural network with a single layer of hidden units of gaussian type is proved to be a universal approximator for real-valued maps defined on convex, compact sets of Rn.