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


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.