Table 4 F1-score (%) comparison with different methods on simulated site dataset.

From: Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment

States

Methods

HHT + DNN10

WPT + FNN11

(MFCC + WT) + KNN15

MFCC + SACNN + LG18

Proposed MFCC + MBCNN

Coal

82.69 ± 3.71

75.19 ± 4.38

81.26 ± 2.84

89.05 ± 2.47

91.37 ± 1.04

Gangue

80.83 ± 4.25

77.24 ± 4.71

81.53 ± 3.17

88.11 ± 2.73

91.49 ± 1.26

Average

81.76 ± 3.98

76.22 ± 4.55

81.40 ± 3.01

88.58 ± 2.60

91.43 ± 1.15

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