Activation function

In computational networks, the activation function of a node defines the output of that node given an input or set of inputs. A standard computer… (More)
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1983-2017
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2016
2016
† University of Oxford Abstract Common activation functions used in neural networks can yield to training difficulties due to the… (More)
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Highly Cited
2010
Highly Cited
2010
In this brief, stability of multiple equilibria of recurrent neural networks with time-varying delays and the piecewise linear… (More)
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2008
Highly Cited
2008
In this paper, a one-layer recurrent neural network with a discontinuous hard-limiting activation function is proposed for… (More)
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Highly Cited
2004
Highly Cited
2004
This paper investigates the absolute exponential stability of a general class of delayed neural networks, which require the… (More)
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Highly Cited
1998
Highly Cited
1998
In this paper, we study the theoretical properties of a new kind of artificial neural network, which is able to adapt its… (More)
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Highly Cited
1995
Highly Cited
1995
The purpose of this paper is to investigate neural network capability systematically. The main results are: 1) every Tauber… (More)
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Highly Cited
1995
Highly Cited
1995
The purpose of this paper is to explore the representation capability of radial basis function (RBF) neural networks. The main… (More)
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Highly Cited
1993
Highly Cited
1993
-Several researchers characterized the activation fimction under which multilayer feedforward networks can act as universal… (More)
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Highly Cited
1991
Highly Cited
1991
-We show that standard multilayer feedfbrward networks with as few as a single hidden layer and arbitrary bounded and nonconstant… (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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