Title :
Research on the Prediction Model of Supply Risk Based on SVM
Author :
Meng Da-peng ; Shi Chun-sheng
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
Abstract :
As an effective method of machine learning, Support vector machine has been widely used in prediction. Proposition the supply of risk control and prevention, based on establishment evaluation index system and questionnaire to enterprise, this paper construct the supply risk prediction model and then discuss the fitting degree of model, expect to provide the basis for supply risk management.
Keywords :
learning (artificial intelligence); prediction theory; risk management; statistical analysis; supply chain management; support vector machines; SVM; establishment evaluation index system; machine learning; risk control; risk prevention; statistical learning theory; supply risk management; supply risk prediction model; support vector machine; prediction model Introduction; supply risk; support vector machine;
Conference_Titel :
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8438-6
DOI :
10.1109/WISM.2010.34
