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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 格式: | Article |
| 语言: | English |
| 出版: |
Water Environment Federation
2015
|
| 在线阅读: | 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 http://psasir.upm.edu.my/id/eprint/43836/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|