| 机器学习在红外光谱沥青品牌识别中的应用 |
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| 引用本文： | 马子嵘.机器学习在红外光谱沥青品牌识别中的应用[J].分析仪器,2021(1):42-45. |
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| 作者姓名： | 马子嵘 |
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| 作者单位： | 福建省交通科研院有限公司,福州 350004 |
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| 摘 要： | 采用布鲁克TENSORⅡ型红外光谱仪,结合机器学习算法,对品牌沥青进行特征提取及识别。经过模型验证,表明机器学习能够正确识别沥青品牌,辨识假冒伪劣沥青产品,确保工程质量。
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| 关 键 词： | 光谱分析 分类 机器学习 |
Application of machine learning algorithm in infrared spectrum identification of asphalt brands |
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| Ma Zirong.Application of machine learning algorithm in infrared spectrum identification of asphalt brands[J].Analytical Instrumentation,2021(1):42-45. |
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| Authors: | Ma Zirong |
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| Affiliation: | (Fujian Traffic Research Institute Co.,Ltd.,Fuzhou 350004,China) |
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| Abstract: | An approach based on Brooke TENSORⅡinfrared spectrometer combined with machine learning algorithm was adopted.Different brands of asphalt were feature extracted and identified.By model verification,it shows that the machine learning algorithm can identify asphalt brands correctly,and can identify the fake or inferior asphalt products. |
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| Keywords: | Spectrum analysis Classification Machine learning |
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