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arXiv · 1706.08163

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

Liz Angélica Ramos Medina·Alex Francisco Bustos Pinzón·Miguel A. Melgarejo·Santiago Vargas Domínguez
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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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Liz Angélica Ramos Medina, Alex Francisco Bustos Pinzón, Miguel A. Melgarejo, Santiago Vargas Domínguez. 2017-06-25. Tuning up Fuzzy Inference Systems by using optimization algorithms for the classification of solar flares. https://arxiv.org/abs/1706.08163

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