Abstract: This paper presents the development of a nutritional system using Backpropagation neural network, that is able to provide a clear and simple prediction problems of obesity in children up to twelve years, based on your eating habits during the day. For the development of this project has taken into account various factors, which are vital for the proper development of infants. A prediction system can offer a solution to several factors, which are not easily determined by convectional means.

A. Medina-Santiago, E. M. Melgar-Paniagua, L. C. Campos-Reyes, A. Cisneros-Gómez and N. R. García-Chong, “Neural Backpropagation System for the Study of Obesity in Childhood” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(12), 2016. http://dx.doi.org/10.14569/IJARAI.2016.051204

@article{Medina-Santiago2016,
title = {Neural Backpropagation System for the Study of Obesity in Childhood},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051204},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051204},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {12},
author = {A. Medina-Santiago and E. M. Melgar-Paniagua and L. C. Campos-Reyes and A. Cisneros-Gómez and N. R. García-Chong}
}