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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Monograph |
| 言語: | English |
| 出版事項: |
Universiti Sains Malaysia
2018
|
| 主題: | |
| オンライン･アクセス: | 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/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|