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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model = Case Study in Perak River, Malaysia /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model/ by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani.
其他題名:	Case Study in Perak River, Malaysia /
作者:	Karim, Samsul Ariffin Abdul.
其他作者:	Kamsani, Nur Fatonah.
面頁冊數:	XII, 55 p. 18 illus., 16 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-3485-0
ISBN:	9789811534850

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model = Case Study in Perak River, Malaysia /
Karim, Samsul Ariffin Abdul.

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression ModelCase Study in Perak River, Malaysia /[electronic resource] :by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani. - 1st ed. 2020. - XII, 55 p. 18 illus., 16 illus. in color.online resource. - SpringerBriefs in Water Science and Technology,2194-7244. - SpringerBriefs in Water Science and Technology,.

Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.

This book 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.

ISBN: 9789811534850

Standard No.: 10.1007/978-981-15-3485-0doiSubjects--Topical Terms:

768837
Computational Intelligence.

LC Class. No.: TD419-428

Dewey Class. No.: 363.7394

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model = Case Study in Perak River, Malaysia /
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