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
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    References(4)

    [3] G Li, D Tao, Z Wang et al. Spectroscopy Letters, 51, 446(2018).

    [5] C Song, H Yuan, Z Zhu et al. Sensors and Actuators B: Chemical, 268, 299(2018).

    [11] M Shardlow. An Analysis of Feature Selection Selection Techniques, Mathematics, Computer Sciences(2011).

    [12] S Min, Y Xiong, J Zhang. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 223, 117110(2019).

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    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

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    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

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