Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification

Authors

  • Liz Angélica Ramos Universidad Distrital Francisco José de Caldas
  • Alex Francisco Bustos Pinzón Universidad Distrital Francisco José de Caldas
  • Miguel A. Melgarejo R. Universidad Distrital Francisco José de Caldas
  • Santiago Vargas Domínguez Universidad Nacional de Colombia

DOI:

https://doi.org/10.18180/tecciencia.2017.23.5

Keywords:

ANFIS, EBDF, Solar Flares, Fuzzy Sets

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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Published

2025-03-04

How to Cite

Ramos, L. A., Bustos Pinzón, A. F., Melgarejo R., M. A., & Vargas Domínguez, S. (2025). Fuzzy Inference Systems Tuning with Optimization Algorithms for Solar Flares Classification. TECCIENCIA, 12(23), 33–42. https://doi.org/10.18180/tecciencia.2017.23.5

Issue

Vol. 12 No. 23 (2017)

Section

Research Articles