Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River

Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River

The water quality index (WQI) is an essential indicator to manage water usage properly. This study aimed at applying a machine learning-based approach integrating attribute-realization (AR) and support vector machine (SVM) algorithm to classify the Chao Phraya River's water quality. The histori...

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Bibliographic Details
Main Authors: Chalisa Veesommai Sillberg, Pratin Kullavanijaya, Orathai Chavalparit
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2021-10-01
Series:Journal of Ecological Engineering
Subjects:
environmental data analysis
machine learning
svm
water quality index
wqi
Online Access:http://www.jeeng.net/Water-Quality-Classification-by-Integration-of-Attribute-Realization-and-Support,141364,0,2.html

Internet

http://www.jeeng.net/Water-Quality-Classification-by-Integration-of-Attribute-Realization-and-Support,141364,0,2.html

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