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On the approximation of stochastic processes by approximate identity neural networks

โœ Scribed by Turchetti, C.; Conti, M.; Crippa, P.; Orcioni, S.


Book ID
125967916
Publisher
IEEE
Year
1998
Tongue
English
Weight
785 KB
Volume
9
Category
Article
ISSN
1045-9227

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โœ Ken-Ichi Funahashi ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 733 KB

In this paper, we prove 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. The starting point of the proof for the one hidden layer case is an integral formula