The Model of Order Prediction Based on SVM

Author

Hua Xiaohui ; Yan Xiuxia ; Yu Hu

Author_Institution

Shandong Univ. of Technol., Shandong

fYear

2007

fDate

20-24 Oct. 2007

Firstpage

939

Lastpage

942

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISDA.2007.67

Filename

4389728

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2230973