Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
Top Cited Papers
- 1 November 2012
- journal article
- Published by Elsevier BV in Marine Pollution Bulletin
- Vol. 64 (11), 2409-2420
- https://doi.org/10.1016/j.marpolbul.2012.08.005
Abstract
No abstract availableThis publication has 64 references indexed in Scilit:
- Artificial neural network model as a potential alternative for groundwater salinity forecastingJournal of Hydrology, 2011
- Application of Water Quality Index for Assessment of Dokan Lake Ecosystem, Kurdistan Region, IraqJournal of Water Resource and Protection, 2010
- Use of neural networks for monitoring surface water quality changes in a neotropical urban streamEnvironmental Monitoring and Assessment, 2008
- Data mining and multivariate statistical analysis for ecological system in coastal watersJournal of Hydroinformatics, 2007
- A Water Quality Index Applied to an International Shared River Basin: The Case of the Douro RiverEnvironmental Management, 2006
- Detection of land-cover transitions by combining multidate classifiersPattern Recognition Letters, 2004
- Radial Basis Function and Multilayer Perceptron neural networks for sea water optically active parameter estimation in case II waters: A comparisonInternational Journal of Remote Sensing, 2003
- Hydrological modelling using artificial neural networksProgress in Physical Geography: Earth and Environment, 2001
- OREGON WATER QUALITY INDEX A TOOL FOR EVALUATING WATER QUALITY MANAGEMENT EFFECTIVENESS1Jawra Journal of the American Water Resources Association, 2001
- How initial conditions affect generalization performance in large networksIEEE Transactions on Neural Networks, 1997