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Reordenación de los ejemplos en fuzzy-ARTMAP para ganar robustez y disminuir el número de categorías: Aplicación a la extracción automática de reglas.

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P. Tejedor, J. Martínez, E.F. Sánchez-Úbeda

VIII Conferencia de la Asociación Española para la Inteligencia Artificial - CAEPIA 1999, Murcia (Spain). 16-19 November 1999


Summary:

One of the drawbacks for the fuzzy-ARTMAP algorithm is its dependence on the order of the training samples. When we want to extract linguistic rules from samples, we need a system able to produce as few rules as posible, while maintaining its liability. We propose that an overcome of the difficulty can arise from a recursive reordering of the training samples acording with parameters suggested by the algorithm itself.


Keywords: Neural networks, fuzzy-ARTMAP, incremental learning, linguistic rule extraction.


Published in VIII Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA'99, pp: 158-165, ISBN: 931170-0-5

Publication date: 1999-11-19.



Citation:
P. Tejedor, J. Martínez, E.F. Sánchez-Úbeda, ., VIII Conferencia de la Asociación Española para la Inteligencia Artificial - CAEPIA 1999, Murcia (Spain). 16-19 November 1999. In: VIII Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA'99: Libro de actas, ISBN: 931170-0-5


    Research topics:
  • *Forecasting and Data Mining

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