A learning result for continuous-time re
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Eduardo D. Sontag
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Article
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1998
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Elsevier Science
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English
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The following learning problem is considered, for continuous-time recurrent neural networks having sigmoidal activation functions. Given a "black box" representing an unknown system, measurements of output derivatives are collected, for a set of randomly generated inputs, and a network is used to ap