Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees

Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees

Particulate matter with an aerodynamic diameter less than 10μm (PM10) is one of the pollutants that can adversely affect human health. The aims of this study is to predict particulate matter concentration for the next day (PM10D1) by using Multiple Linear Regression (MLR) and Boosted Regression Tree...

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Bibliographic Details
Main Author: Hamid, Nur Haziqah Mohd
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2017
Subjects:
T Technology
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.usm.my/52156/1/Prediction%20Of%20PM10%20Using%20Multiple%20Linear%20Regression%20And%20Boosted%20Regression%20Trees_Nur%20Haziqah%20Mohd%20Hamid_A9_2017.pdf

Internet

http://eprints.usm.my/52156/1/Prediction%20Of%20PM10%20Using%20Multiple%20Linear%20Regression%20And%20Boosted%20Regression%20Trees_Nur%20Haziqah%20Mohd%20Hamid_A9_2017.pdf

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