Chu-han CHEN, Yang-sheng ZHONG, Xian-yan WANG, Yi-kun ZHAO, Fen DAI. Feature Selection Algorithm for Identification of Male and Female Cocoons Based on SVM Bootstrapping Re-Weighted Sampling[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1173
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 4, 1173 (2022)
Fig. 1. BRS-SVM algorithm flow chart
Fig. 2. Automatic silkworm sorting machine
Fig. 3. Mean near infrared spectra of cocoon
Fig. 4. The importance heatmap of near infrared spectral characteristics of cocoon
Fig. 5. Accuracies of models using selected single-band features
Fig. 6. Modeling accuracies of selected band area features
Fig. 7. 27 (a) single-band features selected by BRS-SVM; (b) 14 band area features selected by BRS-SVM
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Table 1. Details of the data sets
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Table 2. Accuracy of SVM sex classification model for silkworm cocoons of 932 and 7xia
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