DocumentCode
3517931
Title
A Service-Oriented Modeling of Production Forecasting
Author
Shi, Jinfa ; Jiao, Hejun
Author_Institution
Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
fYear
2010
fDate
26-27 June 2010
Firstpage
22
Lastpage
24
Abstract
The forecast of production is an important resource for establishing policy. Aimed at the character of the agriculture system, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization from the Service-Oriented Architecture. The result is given that the forecasting model is effective and offers a new method to forecast the grain production.
Keywords
agricultural engineering; forecasting theory; least squares approximations; production engineering computing; service-oriented architecture; support vector machines; agriculture system; least squares support vector machine prediction model; production forecasting; service-oriented modeling; statistical learning theory; forecast of grain production; service-oriented; statistical learning theory; time series prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Power and Energy Engineering (ICFPEE), 2010 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-7378-6
Electronic_ISBN
978-1-4244-7379-3
Type
conf
DOI
10.1109/ICFPEE.2010.13
Filename
5663338
Link To Document