Discontinuities in recurrent neural networks

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Title:	Discontinuities in recurrent neural networks
Author:	Gavaldà Mestre, Ricard; Siegelmann, Hava T
Other authors:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
Abstract:	This paper studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN). This ARNN consists of finite number of neurons; each neuron computes a polynomial net-function and a sigmoid-like continuous activation-function. The authors introduce
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica -Analog recurrent neural network -ARNN -Arithmetic networks
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Document type:	Article - Published version Report
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