Using Support Vector Machine Method with Spatio-temporal Features to Predict Urban Air Quality
碩士 === 國立臺灣大學 === 環境工程學研究所 === 104 === Urban air quality prediction has been considered imperative because it allows citizens to properly respond to poor air quality according to the forecasts. Compared to transport models, statistical methods, usually referring to machine learning, have been mo...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/56448804374257528562 |