The usage of artificial neural networks in the classification and forecast of potable water consumption

Diego Marinho de Oliveira,André Luís de Oliveira Andrade,Cristiane Neri Nobre,Luis Enrique Zárate

IJCNN（2009）

引用 3|浏览12

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摘要

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.

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关键词

neural representation structure,trained artificial neural networks,main factor,potable water consumption,trees parroting networks,socio-economic variable,artificial neural network,special tool,learning artificial intelligence,water resources,temperature,computational intelligence,water conservation,data mining,databases,degradation,knowledge extraction,neural nets,artificial neural networks,computer science

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