On the approximate realization of contin
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Ken-Ichi Funahashi
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Article
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1989
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Elsevier Science
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English
⚖ 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