Title :
A Service-Oriented Modeling of Production Forecasting
Author :
Shi, Jinfa ; Jiao, Hejun
Author_Institution :
Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
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;
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
DOI :
10.1109/ICFPEE.2010.13
