Predicting Water Quality Parameters in a Complex River System

This research applied a machine learning technique for predicting the water quality parameters of Kelantan River using the historical data collected from various stations. Support Vector Machine (SVM) was used to develop the prediction model. Six water quality parameters (dissolved oxygen (DO), bioc...

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Bibliographic Details
Main Authors: Isman Kurniawan, Gasim Hayder, Hauwa Mohammed Mustafa
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2021-01-01
Series:Journal of Ecological Engineering
Subjects:
Online Access:http://www.journalssystem.com/jeeng/PREDICTING-WATER-QUALITY-PARAMETERS-IN-A-COMPLEX-RIVER-SYSTEM,129579,0,2.html