Artificial neural network modeling of the water quality index using land use areas as predictors

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Artificial neural network modeling of the water quality index using land use areas as predictors

This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were employed in the modeling process. The most accurate...

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Bibliographic Details
Main Authors:	Gazzaz, Nabeel M., Yusoff, Mohd Kamil, Ramli, Mohammad Firuz, Juahir, Hafizan, Aris, Ahmad Zaharin
Format:	Article
Language:	English
Published:	Water Environment Federation 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/43836/ http://psasir.upm.edu.my/id/eprint/43836/1/Artificial%20neural%20network%20modeling%20of%20the%20water%20quality%20index%20using%20land%20use%20areas%20as%20.pdf

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