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Laser-Induced Breakdown Spectroscopy Combined with Nonlinear Manifold Learning for Improvement Aluminum Alloy Classification Accuracy.

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第一作者： Edward,Harefa

第一单位： Key Laboratory of Optical Information Detection and Display Technology of Zhejiang, Zhejiang Normal University, Jinhua 321004, China.

作者： Edward,Harefa ^[1] ; Weidong,Zhou ^[1]

作者单位： Key Laboratory of Optical Information Detection and Display Technology of Zhejiang, Zhejiang Normal University, Jinhua 321004, China. ^[1]

关键词 Isomap LIBS Laplacian eigenmaps classification dimensionality reduction local linear embedding local tangent space alignment manifold learning

医学主题词合金(Alloys);铝(Aluminum);激光(Lasers);光谱分析(Spectrum Analysis)

DOI 10.3390/s22093129

PMID 35590818

发布时间 2022-07-16

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Sensors (Basel, Switzerland)

2022年22卷9期

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Laser-Induced Breakdown Spectroscopy Combined with Nonlinear Manifold Learning for Improvement Aluminum Alloy Classification Accuracy.

Sensors (Basel, Switzerland)

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Laser-Induced Breakdown Spectroscopy Combined with Nonlinear Manifold Learning for Improvement Aluminum Alloy Classification Accuracy.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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