Surface Defect Target Identification on Copper Strip Based on Adaptive Genetic Algorithm and Feature Saliency

Table 4

Weight of each feature in optimal feature subsequence.

	f1	f6	f7	f8	f9	f11	f12	f13	f14
𝐷𝑖	0.7795	0.7125	0.7600	0.6997	0.8248	0.8898	0.9078	0.9434	0.7618
Weight	0.1071	0.0979	0.1044	0.0961	0.1133	0.1222	0.1247	0.1296	0.1047