Feature Selection And Model Prediction Of Air Quality Using PM2.5
This study was to develop a feed-forward artificial neural network (FANN) prediction model to predict the air quality using PM2.5. Currently, Malaysia does not have any prediction model for concentration of PM2.5. Thus, with the prediction model developed, the concentration of PM2.5 in air can be pr...
Saved in:
| Main Author: | |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2018
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/53694/1/Feature%20Selection%20And%20Model%20Prediction%20Of%20Air%20Quality%20Using%20PM2.5_Sharon%20Ding%20Tiew%20Kui_K4_2018.pdf http://eprints.usm.my/53694/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|