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Aplicación del modelo Neuro-Difuso ANFIS para la clasificación de la obesidad en niños y adolescentes |
Published in: | Innovation in Education and Inclusion : Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education and Technology | |
Date of Conference: | July 18-20, 2018 |
Location of Conference: | Lima, Perú |
Authors: | Jose Sulla-Torres (Universidad Nacional de San Agustín, PE) Christian Soto-Paredes (Universidad Nacional de San Agustín, PE) Rocío Cárdenas-Soria (Universidad Nacional de San Agustín, PE) Lucía Huancco-Coila (Universidad Nacional de San Agustín, PE) Luis Alfaro-Casas (Universidad Nacional de San Agustín, PE) (Universidad Nacional de San Agustín) |
Full Paper: | #53 |
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Abstract:The objective of this article is to classify obesity in boys and adolescents, between 6 and 17 years old, using Neural Networks and Fuzzy Logic. The neuro-diffuse model ANFIS (Fuzzy Inference System of the Artificial Neural Network) was chosen. ANFIS includes a complete set of features for both the fuzzification, defuzzification, training and testing. Experimental tests show a 96.96% accuracy in classification and 3.04% error.
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