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

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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Bibliographische Detailangaben
Veröffentlicht in:Water environment research : a research publication of the Water Environment Federation. - 1998. - 87(2015), 2 vom: 17. Feb., Seite 99-112
1. Verfasser: Gazzaz, Nabeel M (VerfasserIn)
Weitere Verfasser: Yusoff, Mohd Kamil, Ramli, Mohammad Firuz, Juahir, Hafizan, Aris, Ahmad Zaharin
Format: Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:Water environment research : a research publication of the Water Environment Federation
Schlagworte:Journal Article