A regularization term to avoid the saturation of the sigmoids in multilayer neural networks
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1Departament d'Estructura i Constituents de la Matèria, Facultat de Física, Universitat de Barcelona, Spain.
International Journal of Neural Systems
|July 1, 1996
Abstract:
In this paper we propose a new method to prevent the saturation of any set of hidden units of a multilayer neural network. This method is implemented by adding a regularization term to the standard quadratic error function, which is based on a repulsive action between pairs of patterns.
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