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Neural Networks
Article . 1996 . Peer-reviewed
License: CC BY NC ND
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Neural Networks
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Characterization of a Class of Sigmoid Functions with Applications to Neural Networks

Authors: Menon, Anil Ravindran; Mehrotra, Kishan; Mohan, Chilukuri K.; Ranka, Sanjay;

Characterization of a Class of Sigmoid Functions with Applications to Neural Networks

Abstract

We study two classes of sigmoids: the simple sigmoids, defined to be odd, asymptotically bounded, completely monotone functions in one variable, and the hyperbolic sigmoids, a proper subset of simple sigmoids and a natural generalization of the hyperbolic tangent. We obtain a complete characterization for the inverses of hyperbolic sigmoids using Euler's incomplete beta functions, and describe composition rules that illustrate how such functions may be synthesized from others. These results are applied to two problems. First we show that with respect to simple sigmoids the continuous Cohen-Grossberg-Hopfield model can be reduced to the (associated) Legendre differential equations. Second, we show that the effect of using simple sigmoids as node transfer functions in a one-hidden layer feedforward network with one summing output may be interpreted as representing the output function as a Fourier series sine transform evaluated at the hidden layer node inputs, thus extending and complementing earlier results in this area. Copyright 1996 Elsevier Science Ltd

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Keywords

Computer Sciences, Sigmoids, Hyperbolic sigmoids, Fourier transform, Simple sigmoids, Sigmoid functions, Hypergeometric series, Legendre equation, Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
151
Top 1%
Top 1%
Average
Green
hybrid