Alpha-beta weightless neural networks

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4 Citas (Scopus)

Resumen

A novel weightless neural network model is presented, based on the known operations Alpha and Beta, and three original operations proposed. The new model of weightless neural network has been called CAINN - Computing Artificial Intelligent Neural Network. The experimental aspect is presented by applying the CAINN model to several known databases. Also, comparative studies about the performance of the CAINN model concerning ADAM weightless neural network and other models are reported. Results exhibit the superiority of the CAINN model over the ADAM model, its counterpart as a weightless neural network; and over other models immersed in the state of the art of neural networks; taking into account the No Free Lunch theorem.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
Páginas496-503
Número de páginas8
DOI
EstadoPublicada - 2008
Evento13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba
Duración: 9 sep. 200812 sep. 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5197 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
País/TerritorioCuba
CiudadHavana
Período9/09/0812/09/08

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