Sigmoid function

Known as: Sigmoids, Sigmoidal curve, S-shaped curve 
A sigmoid function is a mathematical function having an "S" shaped curve (sigmoid curve). Often, sigmoid function refers to the special case of the… (More)
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Papers overview

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Review
2017
Review
2017
The purported “black box” nature of neural networks is a barrier to adoption in applications where interpretability is essential… (More)
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Highly Cited
2011
Highly Cited
2011
Rectifying neurons are more biologically plausible than logistic sigmoid neurons, which are themselves more biologically… (More)
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Highly Cited
2004
Highly Cited
2004
We generalize a result of Gao and Xu [4] concerning the approximation of functions of bounded variation by linear combinations of… (More)
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Highly Cited
2003
Highly Cited
2003
The sigmoid kernel was quite popular for support vector machines due to its origin from neural networks. Although it is known… (More)
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Highly Cited
2001
Highly Cited
2001
Special attention must be paid to an efficient approximation of the sigmoid function in implementing FPGA-based reprogrammable… (More)
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Highly Cited
1996
Highly Cited
1996
We develop a mean eld theory for sigmoid belief networks based on ideas from statistical mechanics. Our mean eld theory provides… (More)
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Highly Cited
1995
Highly Cited
1995
Sigmoid function is the most commonly known function used in feed forward neural networks because of its nonlinearity and the… (More)
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Highly Cited
1993
Highly Cited
1993
Approximation properties of a class of artificial neural networks are established. It is shown that feedforward networks with one… (More)
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Highly Cited
1989
Highly Cited
1989
Abstr,,ct. In this paper we demonstrate that finite linear combinations of compositions of a fixed, univariate function and a set… (More)
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Highly Cited
1989
Highly Cited
1989
K.M. Hornik, M. Stinchcombe, and H. White (Univ. of California at San Diego, Dept. of Economics Discussion Paper, June 1988; to… (More)
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