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...
| Main Author: | Hamid, Norfarhanah |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2021
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/54691/ 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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