Research of credit grade assessment for suppliers based on multi-layer SVM Classifier

Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

Volumn 1, Issue , 2006, Pages 207-211

  Lei, Wen ^a   Junfei, Li ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; NEURAL NETWORKS; SUPPLY CHAINS; SUPPORT VECTOR MACHINES;

BP NEURAL NETWORK; CREDIT GRADE ASSESSMENT; INDEX SYSTEMS; MULTI-LAYER SVM CLASSIFIERS;

SUPPLY CHAIN MANAGEMENT;

EID: 34547545122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2006.226     Document Type: Conference Paper

References (13)

1. L.F. Chang, and J.H. Hu, "Properly Choose Suppliers in Supply Chain", Management Science, Beijing, 2001 no. 13, pp. 117-119.
2. J. Xu, "Analysis of Suppliers' Credit Level Based on Dynamic ANN Expert System", Soft Scince, Beijing, 2003 Vol.17 no.5, pp. 12-16.
3. Y.G. Lv, H.Z Cheng, L.X. Dong, and H.B. Qu, "Fault Diagnosis of Power Transformer Based on Multi-Layer SVM Classifier" Electric Power System and Automation, Beijin, 2001 Vol.17 No.1, pp. 23-30.
4. J.H. Min, and Y.C. Lee, "Bankruptcy Prediction Using Support Vector Machine with Optimal Choice of Kernel Function", Expert System with Applications, 2005, no.28, pp. 603-614.
5. V.N. Vapnik and X.G. Zhang, "Nature of Statistics Theory", Tsinghua University Press, Beijing, 2000.
6. N.Y. Deng and Y.J. Tian, "The New Approach in Data Mining-Support Vector Machines", Science Press, Beijing, 2004.
7. S. Haykin, S.W. Ye, and Z.Z. Shi. "Neural Network a Comprehensive Foundation", China Machine Press, Beijing, 2004.
8. X.D. Wang and J.Q. Wang, "A survey on support vector machine training and testing algorithms", Computer Engineering and Application, 2003 no.13, pp. 75-79.
9. F.Y. Shi and K. Zhang, "Support vector machine networks for multi-class classification", International Journal of Pattern Recognisition and Artificial Intelligence, 2005 vol. 6, no. 6, pp. 775-786.
10. C. Campbell, "Kernel methods: a survey of current techniques", Neurocomputing, 2002 vol. 48, pp. 63-84.
11. C. Golda, and P. Sollichb, "Model selection for support vector machine classification", Neurocomputing, 2003 vol. 55, pp. 221-249.
12. H.C Kim, S.N. Pang, H.M. Je, D.J. Kim, and S.Y. Bang, "Constructing support vector machine ensemble", Pattern Recognition, 2003 vol.36, pp. 2757-2767.
13. D.M. Sinalingam and N. Pandia, "Minmal classification method with error correlation codes for multiclass Recognization" International Journal of Pattern Recognization and Artificialntelligence, 2005 vol.5, pp. 663-680.