Application of Artificial Neural Network on The Prediction of Ambient Air Quality
碩士 === 國立中山大學 === 環境工程研究所 === 90 === The air quality in Kaohsiung and Ping-Dong district is the worst in Taiwan. The air pollution episodes in Kaohsiung are attributed to high concentrations of PM10 and O3. Among them, over half of the episodes result from PM10. In addition to Pollutant Standards In...
Main Authors: | Yat-Chen Lin, 林逸塵 |
---|---|
Other Authors: | none |
Format: | Others |
Language: | zh-TW |
Published: |
2002
|
Online Access: | http://ndltd.ncl.edu.tw/handle/47479151504983766147 |
Similar Items
-
Application of Artificial Neural Network and Time Series on the Prediction of Ambient Air Quality (PM10) in Tainan Region
by: yen-chou Wang, et al.
Published: (2006) -
Prediction of ambient air pollutant concentrations in Macao with artificial neural network
by: Lam, Leong Hong
Published: (2004) -
ARTIFICIAL NEURAL NETWORKS: AN APPLICATION IN THE STUDY OF AIR QUALITY
by: Amaury de Souza, et al.
Published: (2014-06-01) -
Neural networks for time series predictions of ambient air quality
by: Huang, Shang Xiong, et al.
Published: (1995) -
Prediction of the Variations of Air Passenger and Air Cargo by Gray Theory and Artificial Neural Networks
by: Tung-Ching Lin, et al.
Published: (2007)