VIII Conferencia de la Asociación Española para la Inteligencia Artificial - CAEPIA 1999, Murcia (Spain). 16-19 noviembre 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.
Publication date: November 1999.
Citation:
Tejedor, P., Martínez, J., Sánchez-Úbeda, E.F., Reordenación de los ejemplos en fuzzy-ARTMAP para ganar robustez y disminuir el número de categorías: Aplicación a la extracción automática de reglas., VIII Conferencia de la Asociación Española para la Inteligencia Artificial - CAEPIA 1999, Murcia (Spain). 16-19 November 1999.
IIT-99-081A
