Title :
The Model of Order Prediction Based on SVM
Author :
Hua Xiaohui ; Yan Xiuxia ; Yu Hu
Author_Institution :
Shandong Univ. of Technol., Shandong
Abstract :
Under the rapidly changing environment, forecasting the order exactly is the key of improving the flexibility and competition for enterprises. This paper utilized the recognition and regression forecasting function of the support vector machine to put forward the order forecasting model, and proves its validity through handling practical case. Finally, this paper compares the result of this model with the BP neural network, in the condition of the same samples.
Keywords :
forecasting theory; order processing; regression analysis; supply chain management; support vector machines; BP neural network; SVM; order forecasting model; order prediction model; regression forecasting function; supply chain management; support vector machine; Conference management; Environmental management; Intelligent systems; Lagrangian functions; Predictive models; Production; Support vector machine classification; Support vector machines; Technology forecasting; Technology management;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.67
