Multi-class Classification Methods of Enhanced LS-TWSVM for Strip Steel Surface Defects

钢铁研究学报(英文版), 2014, 21(2): 174-180.

^1, , ^2, , ^3, , ^4,

1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China ; School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China

2.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China

3.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China ; School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China

4.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China

基金项目: Item Sponsored by National Natural Science Foundation of China (61050006)

Multi-class Classification Methods of Enhanced LS-TWSVM for Strip Steel Surface Defects

Mao-xiang CHU ^1, , An-na WANG ^2, , Rong-fen GONG ^3, , Mo SHA ^4,

1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China ; School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China

2.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China

3.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China ; School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China

4.College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China

Keywords： multi-class classification

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