Enhancement of water quality index prediction using support vector machine with sensitivity analysis

Enhancement of water quality index prediction using support vector machine with sensitivity analysis

For more than 25 years, the Department of Environment (DOE) of Malaysia has implemented a water quality index (WQI) that uses six key water quality parameters: dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), pH, ammoniacal nitrogen (AN), and suspended solids (SS...

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Bibliographic Details
Main Authors: Naeimah Mamat, Siti Fatin Mohd Razali, Fatimah Bibi Hamzah
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Environmental Science
Subjects:
data-driven
cross-validation
model prediction
sensitivity analysis
support vector machine
water quality index
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1061835/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.1061835/full

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