Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem

Publisher Website

1 January 1991

journal article
Published by Elsevier in Neural Networks

Vol. 4 (3) , 381-383
https://doi.org/10.1016/0893-6080(91)90074-f

Abstract

No abstract available

Keywords

This publication has 3 references indexed in Scilit:

Multilayer feedforward networks are universal approximators
Neural Networks, 1989
General form of measurement transformations which admit the computational methods of metrological analysis of measuring-testing and measuring-computing systems
Measurement Techniques, 1987
On the structure of continuous functions of several variables
Transactions of the American Mathematical Society, 1965