Artificial Neural Networks for Urban Water Demand Forecasting: A Case Study

Conference Object

Abstract: This paper presents an application of an artificial neural network model in forecasting urban water

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Autores:

Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Jairo F. Pavón-Valencia, Leandro L. Lorente-Leyva, Yakcleem Montero-Santos

Fuentes:

scopus