Multivariate neural network operators with sigmoidal activation functions

Abstract

In this paper, we study pointwise and uniform convergence, as well as order of approximation, of a family of linear positive multivariate neural network (NN) operators with sigmoidal activation functions. The order of approximation is studied for functions belonging to suitable Lipschitz classes and using a moment-type approach. The special cases of NN… (More)
DOI: 10.1016/j.neunet.2013.07.009

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Cite this paper

@article{Costarelli2013MultivariateNN, title={Multivariate neural network operators with sigmoidal activation functions}, author={Danilo Costarelli and Renato Spigler}, journal={Neural networks : the official journal of the International Neural Network Society}, year={2013}, volume={48}, pages={72-7} }