Tuning up Fuzzy Inference Systems by using optimization algorithms for the classification of solar flares

Liz Angelica Ramos, Alex Francisco Ramos, Miguel Melgarejo, Santiago Vargas


In this work we describe the implementation and analysis of different optimization algorithms used for finding the best set of parameters for a Fuzzy Inference System intended to classify solar flares. The parameters will be identified among a universe of possible solutions for the algorithms, and the system will be tested in the particular case of dealing with the aim of classifying the solar flares.


ANFIS, EBDF, Fuzzy Sets, Solar Flares.

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