Definición de una red neuronal para clasificación por medio de un programa evolutivo

  • Alma E. Martínez Licona Universidad Autónoma Metropolitana - Iztapalapa.
  • John Goddard Close Universidad Autónoma Metropolitana - Iztapalapa.

Abstract

 

Artificial neural nets called Multi-layer Perceptrons (MP) are an extremely useful tool for solving classification problems. It has been shown that MPs with a single hidden layer can satisfactorily separate the classes involved in a given problem: however, the number of hidden units required is unknown as there is no exact method for calculating them. The present work describes a way, using an evolutionary program (EP) with variable length chromosomes, of finding a suitable number of hidden units, as well as the weights on all the connections, thereby defining the architecture of a MP for a given classification problem. Only the number of input and output units are considered given. The operators used by the EP are the selection and two forms of mutation, and these are specified in the paper.

Published
2001-03-24
How to Cite
Martínez Licona, A. E., & Goddard Close, J. (2001). Definición de una red neuronal para clasificación por medio de un programa evolutivo. Mexican Journal of Biomedical Engineering, 22(1), 8. Retrieved from http://rmib.mx/index.php/rmib/article/view/417
Section
Research Articles