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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Water Environment Federation
2015
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| Online Access: | 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 |