Hongquan Qu, Zhengyi Wang, Zhiyong Sheng, Hongbin Qu, Ling Wang. Fiber Intrusion Signal Classification Based on Gradient Boosting Decision Tree Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2306003
- Laser & Optoelectronics Progress
- Vol. 59, Issue 23, 2306003 (2022)
Fig. 1. Original signal of tapping and the decomposition result. (a) Original signal; (b) decomposition result
Fig. 2. Original fiber intrusion signal and preprocessing results. (a) Original signal; (b) preprocessing result
Fig. 3. Flowchart of the AdaBoost algorithm
Fig. 4. Validation curves of GBDT algorithm under different parameters. (a) n_estimators; (b) learning_rate; (c) max_depth; (d) subsample
Fig. 5. AdaBoost algorithm grid search validation curve. (a) n_estimators; (b) learning_rate
Fig. 6. Grid search verification curve of the SVM algorithm. (a) C; (b) gamma
Fig. 7. Confusion matrices for different algorithms. (a) GBDT algorithm; (b) DT-AdaBoost algorithm; (c) SVM algorithm
Fig. 8. Recognition rate of fiber intrusion signals for different algorithms
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Table 1. Permutation entropy value of some FIBF components
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Table 2. Tuning range of GBDT parameters
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