Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
Date
2012
Authors
Nabeel M. Gazzaz
Mohd Kamil Yusoff
Ahmad Zaharin Aris
Hafizan Juahir
Mohammad Firuz Ramli
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
This article describes design and application of feed-forward, fully-connected, three-layer perceptron neural network model for computing the water quality index (WQI)1 for Kinta River (Malaysia).
Description
Keywords
Surface water, Kinta River, Water quality index, Artificial neural network, Three-layer perceptron, Quickprop algorithm
Citation
Gazzaz, N. M., Yusoff, M. K., Aris, A. Z., Juahir, H., & Ramli, M. F. (2012). Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors. Marine pollution bulletin, 64(11), 2409-2420.