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

Chu-han CHEN; Yang-sheng ZHONG; Xian-yan WANG; Yi-kun ZHAO; Fen DAI

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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 4 >Page 1173 > Article

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

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

Chu-han CHEN^1、*, Yang-sheng ZHONG^2、2;, Xian-yan WANG^3、3;, Yi-kun ZHAO^1、1;, and Fen DAI^{1、1; *;}

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

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 Copy Citation Text

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References

[3] D Tao, Z Wang, G Li 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, J Zhang, Y Xiong. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 223, 117110(2019).