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Updated: Jan 25, 2026

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基于激光-拉曼光谱学的可解释机器学习预测生物炭特征

Xing Hu1, Dezhi Chen1, Shihao Zhou1

  • 1State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, 430074, PR China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|January 23, 2026
PubMed
概括

使用拉曼光谱和机器学习 (ML) 模型进行准确的生物炭特征预测,优化了生产和应用. Feedforward神经网络显示出卓越的性能,使生物质热解控制有效.

关键词:
生物炭是一种生物炭.它们的特征和特征.机器学习是机器学习.预测 预测 预测拉曼·拉曼,拉曼·拉曼,拉曼·拉曼.

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