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

  • Ramos L
  • Ramos A
  • Melgarejo M
  • et al.
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Abstract

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.

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Ramos, L. A., Ramos, A. F., Melgarejo, M., & Vargas, S. (2017). Tuning up Fuzzy Inference Systems by using optimization algorithms for the classification of solar flares. TECCIENCIA, 12(23), 35–46. https://doi.org/10.18180/tecciencia.2017.23.5

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