Neural Computation
Summer 1990, Vol. 2, No. 2, Pages 210-215
(doi: 10.1162/neco.1990.2.2.210)
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
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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.