On the approximate realization of continuous mappings by neural networks

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Summary

It is proved that any continuous mapping can be approximately realized by Rumelhart-Hinton-Williams' multilayer neural networks with at least one hidden layer whose output functions are sigmoid functions.

Type
article
Published
1989-05-01
Cited by
4,572
References
24

Keywords

Realization (probability), Artificial neural network, Computer science, Artificial intelligence, Mathematics

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