The usage of Artificial Neural Networks in the classification and forecast of potable water consumption
Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis Enrique Zárate · 2009
This study aimed at identifying the main factors that influence potable water consumption. It was used a neural representation structure to model its consumption, applying geographic and socio-economic variables, as well as TREPAN (trees parroting networks), a special tool to to obtain knowledge from trained artificial neural networks. The model was applied to a database of the State of Parana - Brazil.