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Oluwasegun A. Somefun

The nlogistic-sigmoid function

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Aug 06, 2020
Oluwasegun A. Somefun, Kayode Akingbade, Folasade Dahunsi
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The variants of sigmoid functions used in artificial neural networks are, by definition, limited by vanishing gradients. Defining the sigmoid function to become n-times repeated over a finite input-output map can significantly reduce the presence of this limitation. This function mapping as proposed in this paper is the nlogistic-sigmoid function.

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