Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1173(2022)

Feature Selection Algorithm for Identification of Male and Female Cocoons Based on SVM Bootstrapping Re-Weighted Sampling

Chu-han CHEN1,*... Yang-sheng ZHONG2,2;, Xian-yan WANG3,3;, Yi-kun ZHAO1,1; and Fen DAI1,1; *; |Show fewer author(s)
Author Affiliations
  • 11. College of Electronic Engineering, South China Agricultural University, Guangzhou 510642, China
  • 22. College of Animal Science, South China Agricultural University, Guangzhou 510642, China
  • 33. Guangdong Sericulture Technology Promotion Center, Guangzhou 510640, China
  • show less
    Figures & Tables(9)
    BRS-SVM algorithm flow chart
    Automatic silkworm sorting machine
    Mean near infrared spectra of cocoon
    The importance heatmap of near infrared spectral characteristics of cocoon
    Accuracies of models using selected single-band features
    Modeling accuracies of selected band area features
    27 (a) single-band features selected by BRS-SVM; (b) 14 band area features selected by BRS-SVM
    • Table 1. Details of the data sets

      View table
      View in Article

      Table 1. Details of the data sets

      数据集
      名称
      样本品种样本数量
      /个
      雌样本数
      /个
      雄样本个数
      /个
      试验集9芙4 5172 0622 455
      测试集9芙×7湘1 695813882
    • Table 2. Accuracy of SVM sex classification model for silkworm cocoons of 932 and 7xia

      View table
      View in Article

      Table 2. Accuracy of SVM sex classification model for silkworm cocoons of 932 and 7xia

      品种单波段特征/%连续波段面积特征/%
      93293.9190.61
      7xia94.7594.75
    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Jul. 13, 2021

    Accepted: --

    Published Online: Jul. 25, 2023

    The Author Email: CHEN Chu-han (597748426@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)04-1173-06

    Topics