Tuning up Fuzzy Inference Systems by using optimization algorithms for the classification of solar flares
Solar and Stellar Astrophysics
2017-06-27 v1
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.
Cite
@article{arxiv.1706.08163,
title = {Tuning up Fuzzy Inference Systems by using optimization algorithms for the classification of solar flares},
author = {Liz Angélica Ramos Medina and Alex Francisco Bustos Pinzón and Miguel A. Melgarejo and Santiago Vargas Domínguez},
journal= {arXiv preprint arXiv:1706.08163},
year = {2017}
}
Comments
14 pages, 2 figures, 18 tables. Accepted for publication in TECCIENCIA