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Neural Computation

January 1993, Vol. 5, No. 1, Pages 132-139.
(doi: 10.1162/neco.1993.5.1.132)
© 1993 Massachusetts Institute of Technology
Generalization and Approximation Capabilities of Multilayer Networks
Article PDF (369.93 KB)
Abstract

This paper develops a theory for constructing 3-layered networks. The theory allows one to specify a finite discrete set of training data and a network structure (minimum intermediate units, synaptic weights and biases) that generalizes and approximates any given continuous mapping between sets of contours on a plane within any given permissible error.