Prediction of the level of Water Quality Index using Artificial Neural Network techniques in Melaka River Basin
Artificial Neural Network (ANN) techniques were used to develop and validate water quality by predicting the Water Quality Index (WQI) in Melaka River Basin, Malaysia. Nine sampling stations were monitored in total. ANN techniques were applied for testing and developing the water quality predictio...
Saved in:
Main Author: | Ang, Kean Hua |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
|
Online Access: | http://journalarticle.ukm.my/15701/1/49_01_08.pdf http://journalarticle.ukm.my/15701/ http://www.mabjournal.com/index.php?option=com_content&view=article&id=981&catid=59:current-view&Itemid=56 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of water quality using pattern recognition technique in Melaka River Basin, Malaysia
by: Ang, Kean Hua
Published: (2018) -
Urban sprawl prediction using ca-markov model: A case study of Melaka River basin, Malaysia
by: Hua,, Ang Kean, et al.
Published: (2023) -
Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
by: Mohd Hamdan, Eleena Yasmeen
Published: (2021) -
Artificial neural network for precipitation and water level predictions of Bedup River
by: Bustami, R., et al.
Published: (2007) -
Spatial variation assessment of river water quality using environmetric techniques
by: Hua, Ang Kean, et al.
Published: (2016)