원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.2
2016.02
pp.323-338
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Feature Weighting Algorithms and Application
2.1 Relief Feature Weighting Algorithm
2.2 CSC Feature Weighing Algorithm
2.3 Application of weighing algorithm to classification
3. Interval Type-2 Fuzzy Logic and its Extended Approach
4. Applicatkion of Interval Type-2 Fuzzy Logic in Ensemble SVM
5. Fxperiments and results
5.1. Dataset description
5.2 (a) Experiment Design for SVM Based on Feature weighting
5.2 (b) Result and Discussion of SVM based on Feature Weighting
5.3 (a) Experiment design for ensemble SVM based on type-2 fuzzy logic
5.4 (b) Results and discussion of ensemble SVM based on type- fuzzy logic
6. Conclusion
references
1. Introduction
2. Feature Weighting Algorithms and Application
2.1 Relief Feature Weighting Algorithm
2.2 CSC Feature Weighing Algorithm
2.3 Application of weighing algorithm to classification
3. Interval Type-2 Fuzzy Logic and its Extended Approach
4. Applicatkion of Interval Type-2 Fuzzy Logic in Ensemble SVM
5. Fxperiments and results
5.1. Dataset description
5.2 (a) Experiment Design for SVM Based on Feature weighting
5.2 (b) Result and Discussion of SVM based on Feature Weighting
5.3 (a) Experiment design for ensemble SVM based on type-2 fuzzy logic
5.4 (b) Results and discussion of ensemble SVM based on type- fuzzy logic
6. Conclusion
references
저자정보
참고문헌
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