Model Prediction Of Pm2.5 And Pm10 Using Machine Learning Approach

Model Prediction Of Pm2.5 And Pm10 Using Machine Learning Approach

This study was done to develop a multi-input-single-output (MISO) and multi-input-multi-output (MIMO) models using an artificial neural network by MATLAB software to predict the concentrations of PM2.5 and PM10 respectively based on meteorological parameters. For the purpose of this research, the...

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Bibliographic Details
Main Author: Hamid, Norfarhanah
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
T Technology
TP Chemical Technology
Online Access:http://eprints.usm.my/54691/1/Model%20Prediction%20Of%20Pm2.5%20And%20Pm10%20Using%20Machine%20Learning%20Approach_Norfarhanah%20Hamid_K4_2021_ESAR.pdf

Internet

http://eprints.usm.my/54691/1/Model%20Prediction%20Of%20Pm2.5%20And%20Pm10%20Using%20Machine%20Learning%20Approach_Norfarhanah%20Hamid_K4_2021_ESAR.pdf

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