Prediction of Johor River Water Quality Parameters Using Artificial Neural Networks

Abstract

Artificial Neural Network (ANN) captures the embedded spatial and unsteady behavior in the investigated problem using its architecture and nonlinearity nature compared with the other classical modeling techniques. Johor River Basin located in Johor state, Malaysia which is significantly degrading due to human activities as well as urbanization in and within the area. The present study attempted to predict water quality parameters at Johor River Basin utilizing ANN modeling. This study proposed a prediction model for total dissolved solids, electrical conductivity, and turbidity.

Description

Keywords

Water quality prediction, Johor River Basin, artificial neural network

Citation

Najah, A., Elshafie, A., Karim, O. A., & Jaffar, O. (2009). Prediction of Johor River water quality parameters using artificial neural networks. European Journal of scientific research, 28(3), 422-435.

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