Table 6 Classification comparison
Existing approaches | Feature # | Run # | D-66 | D-160 | D-255 |
|---|---|---|---|---|---|
DWT + SOM (Chaplot et al. 2006) | 4761 | 5 | 94.00 | 93.17 | 91.65 |
DWT + SVM (Chaplot et al. 2006) | 4761 | 5 | 96.15 | 95.38 | 94.05 |
DWT + SVM + RBF (Chaplot et al. 2006) | 4761 | 5 | 98.00 | 97.33 | 96.18 |
DWT + SVM + POLY (Chaplot et al. 2006) | 4761 | 5 | 98.00 | 97.15 | 96.37 |
DWT + PCA + KNN (El-Dahshan et al. 2010) | 7 | 5 | 98.00 | 97.54 | 96.79 |
DWT + PCA + FP-ANN (El-Dahshan et al. 2010) | 7 | 5 | 97.00 | 96.98 | 95.29 |
DWT + PCA + SCG-FNN (Dong et al. 2011) | 19 | 5 | 100.00 | 99.27 | 98.82 |
DWT + PCA + SVM (Zhang and Wu 2012) | 19 | 5 | 96.01 | 95.00 | 94.29 |
DWT + PCA + SVM + RBF (Zhang and Wu 2012) | 19 | 5 | 100.00 | 99.38 | 98.82 |
DWT + PCA + SVM + IPOL (Zhang and Wu 2012) | 19 | 5 | 100.00 | 98.12 | 97.73 |
DWT + PCA + SVM + HPOL (Zhang and Wu 2012) | 19 | 5 | 98.34 | 96.88 | 95.61 |
RT + PCA + LS-SVM (Das et al. 2013) | 9 | 5 | 100.00 | 100.00 | 99.39 |
DWT + SE + SWP + PNN (Saritha et al. 2013) | 3 | 5 | 100.00 | 99.88 | 98.90 |
PCNN + DWT + PCA + BPNN (El-Dahshan et al. 2014) | 7 | 10 | 100.00 | 98.88 | 98.24 |
SWT + PCA + IABAP-FNN (Wang et al. 2015a) | 7 | 10 | 100.00 | 99.44 | 99.18 |
SWT + PCA + ABC-SPSO-FNN (Wang et al. 2015a) | 7 | 10 | 100.00 | 99.75 | 99.02 |
WE + HMI + GEPSVM (Zhang et al. 2015d) | 14 | 10 | 100.00 | 99.56 | 98.63 |
Proposed approach | Feature # | Run # | D-66 | D-160 | D-255 |
|---|---|---|---|---|---|
WPTE + FSVM | 16 | 10 | 100.00 | 100.00 | 99.49 |