Development of Fuzzy Support Vector Machine and Evaluation of Performance Using Ionosphere Radar Data |
Cheon, Min-Kyu
(연세대학교 전기전자공학부)
Yoon, Chang-Yong (연세대학교 전기전자공학부) Kim, Eun-Tai (연세대학교 전기전자공학부) Park, Mig-Non (연세대학교 전기전자공학부) |
1 | Yi-Hung Liu and Yen-Ting Chen, "Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines," IEEE Transactions on Neural Networks, Vol. 18, No, 1, pp 178-192, January 2007 DOI ScienceOn |
2 | Yongqiao Wang, Shouyang Wang and K. K. Lai, "A New Fuzzy Support Vector Machine to Evaluate Credit Risk," IEEE Transactions on Fuzzy Systems, Vol. 13, No. 16, pp 820-831, December 2005 DOI ScienceOn |
3 | G.-B. Huang, and C.-K. Siew, "Extreme learning machine with randomly assigned RBF kernels," International Journal of Information Technology, vol. 11, no. 1, pp.16-24, 2005 |
4 | Chun-Fu Lin, and Sheng-De Wang, "Fuzzy Support Vector Machines," IEEE Transactions on Neural Networks, Vol. 13, No. 2, pp 464-471, March 2002 DOI ScienceOn |
5 | G.-B. Huang, Q.-Y. Zhu and C.-K. Siew, "Exteme Learning Machine: Theory and Application," Neurocomputing, vol. 70, pp.489-501, 2006 DOI ScienceOn |
6 | http://mlearn.ics.uci.edu/MLSummary.html |
7 | Richard O. Duda, Peter E. Hart and David G. Stork, Pattern Classification, Wiley, pp 215-281 |
8 | Jayadeva and R. Khemchandani, "Twin Support Vector Machines for Pattern Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 5, pp 905-910, May 2007 DOI ScienceOn |