| 离散余弦变换结合BP网络用于白酒近红外光谱定量分析 |
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| 引用本文： | 陈斌,殷道永,郝勇.离散余弦变换结合BP网络用于白酒近红外光谱定量分析[J].酿酒科技,2006(3):52-54. |
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| 作者姓名： | 陈斌 殷道永 郝勇 |
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| 作者单位： | 江苏大学生物与环境工程学院,江苏,镇江,212013 |
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| 摘 要： | 采用近红外光谱的离散余弦变换和BP神经网络相结合．建立了白酒近红外光谱与其酒精度之间的数学关系模型，为快速检测白酒的酒精度提供了一种新的方法。结果表明．经离散余弦变换后建立的模型比全光谱偏最小二乘建立的模型具有更精确的预测效果。模型的相关系数由原来的0．9611提高到0．9744，预测标准偏差由原来的1．3891降低到0．9542。
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| 关 键 词： | 白酒 定量分析 离散余弦变换 神经网络 近红外光谱 |
| 文章编号： | 1001-9286(2006)03-0052-03 |
| 收稿时间： | 2005-11-17 |
| 修稿时间： | 2005年11月17 |
Near Infrared Light Quantitative Spectrometric Analysis of Liquor by BP Neural Network and DCT |
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| CHEN Bin,YIN Dao-yong,HAO Yong.Near Infrared Light Quantitative Spectrometric Analysis of Liquor by BP Neural Network and DCT[J].Liquor-making Science & Technology,2006(3):52-54. |
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| Authors: | CHEN Bin YIN Dao-yong HAO Yong |
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| Affiliation: | School of Biological and Environmental Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China |
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| Abstract: | A mathematical relation model between liquor near infrared spectrum and liquor alcoholicity was established by use of the combination of discrete cosine transformation (DCT) and BP neural networks, which was a new approach for rapid liquor alcoholicity determination. The results suggested that the predicted standard deviation was 0.9542 and the correlative coefficient was 0.9744 by this method, meanwhile, 1.3891 and 0.9611 respectively by PLS. It proved that this mathematical model could be used in practice. |
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| Keywords: | liquor quantitative analysis discrete cosine transformation BP neural network near infrared spectrum |
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