Title :
An extension cluster model for the forecast on the volume of exhaust emissions
Author :
Wang, Min ; Yu, Yongquan ; Wang, Wenjuan
Author_Institution :
Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
On the basis of matter element model and correlation function in extension, this paper provided a method of the extension cluster modeling mechanism for the forecast on the volume of exhaust emissions. An interval forecast on the volume of exhaust emissions was made combining with Shanghai´s statistical data. The forecasting result shows that the method is more effective and high accuracy.
Keywords :
air pollution; forecasting theory; statistical analysis; Shanghai´s statistical data; correlation function; exhaust emissions; extension cluster model; interval forecast; matter element model; volume forecasting; Databases; Economic indicators; extension cluster forcast model; the volume of exhaust emissions;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641522
