Two-hidden-layer feed-forward networks are universal approximators: A constructive approach-Reference-Cited by-同舟云学术

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Two-hidden-layer feed-forward networks are universal approximators: A constructive approach

Published:2020-11 Issue: Volume:131 Page:29-36
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Paluzo-Hidalgo Eduardo^ORCID,Gonzalez-Diaz Rocio^ORCID,Gutiérrez-Naranjo Miguel A.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference24 articles.

1. Elementos de la teoría de homología clásica;Ayala,2002

2. Geometric and topological inference;Boissonnat,2018

3. On the expressive power of deep learning: A tensor analysis;Cohen,2016

4. Convolutional rectifier networks as generalized tensor decompositions;Cohen,2016

5. Approximation by superpositions of a sigmoidal function;Cybenko;Mathematics of Control Signal and Systems,1989

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