Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model:

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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, MalaysiaAuthor(s): Samsul Ariffin Abdul Karim

Description:
This coursebook addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear regression model to tackle the uncertainty in the measurements of six key parameters – dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), pH value (pH) and ammoniacal nitrogen (NH3-NL). Given its scope, the book is suitable for graduate students, researchers and water quality scientists.



Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model_ Cas.pdf (1.97 MB, 需要: RMB 19 元)

2025-1-28 15:08:14 上传

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关键词：regression Prediction regressio Multiple quality