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Feature selection enhances classification accuracy of magnesium alloys in LIBS spectra
Modern Applied Optics | 更新时间:2026-02-24
    • Feature selection enhances classification accuracy of magnesium alloys in LIBS spectra

    • Magnesium alloys are widely used in aerospace and other fields, and LIBS technology has a promising prospect for detecting magnesium alloys. Experts proposed a rapid classification method for magnesium alloys based on feature selection. After comparing various feature selection and classification models, the mRMR BPNN combination achieved first day and second day data testing accuracies of 99.4% and 92.5%, respectively, with only 180 features, significantly better than other methods. This provides a reliable means for rapid online detection and quality control of magnesium aluminum alloys and promotes the application of LIBS technology in industrial fields.
    • Optics and Precision Engineering   Vol. 34, Issue 4, Pages: 548-558(2026)
    • DOI:10.37188/OPE.20263404.0548    

      CLC: O433.4;TF521
    • CSTR:32169.14.OPE.20263404.0548    
    • Received:30 September 2025

      Revised:2025-10-30

      Published:25 February 2026

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  • CHEN Mingfang,GONG Yu,XU Xiangjun,et al.Feature selection enhances classification accuracy of magnesium alloys in LIBS spectra[J].Optics and Precision Engineering,2026,34(04):548-558.

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