Abstract

Due to the small size and the complexity of the effects from the neighboring metropolises, traditional modeling such as the wind flow and dispersion modeling of the air pollution problem in Macau may not be economical or feasible. Investigation on the applicability of an adaptive neuro-fuzzy inference system (ANFIS) for predicting the daily average sulfur dioxide concentration in Macau is carried out. The 5-day ahead SO: concentration values predicted by the model are within 14% of the measured values which indicates that the ANFIS could be used to develop efficient air-quality prediction models. 1 Introduction Macau, a 21.4 knf territory, sits at the west side of the Pearl River Delta with Hong Kong and Guangzhou situated at 60 km to its E

Details

Title
Adaptive Fuzzy System For Prediction Concentration In Macau
Author
Tarn, S C; Mok, K M; Sam, C
Publication year
1998
Publication date
1998
Publisher
W I T Press
ISSN
1746-448X
e-ISSN
1743-3541
Source type
Other Source
Language of publication
English
ProQuest document ID
2266521056
Copyright
© 1998. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.witpress.com/elibrary .