| 应用近红外透射光谱和人工神经网络的豆油脂良莠鉴别 |
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| 引用本文： | 赵肖宇,关勇,尚廷义,蔡立晶,方一鸣.应用近红外透射光谱和人工神经网络的豆油脂良莠鉴别[J].浙江农业学报,2011,23(4):0. |
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| 作者姓名： | 赵肖宇 关勇 尚廷义 蔡立晶 方一鸣 |
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| 作者单位： | 1.黑龙江八一农垦大学 信息技术学院,黑龙江 大庆 163319;2.燕山大学 电气工程学院,河北 秦皇岛 066004;3.大庆石化工程有限公司,黑龙江 大庆 163317 |
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| 摘 要： | 提出了一种利用近红外透射光谱结合BP神经网络识别未知豆油脂良莠类别的方法。在10 000～3 500 cm-1范围内分别采集合格油、不合格油(精炼垃圾油、煎炸油和变质合格油)的透射光谱,对光谱数据依次作出Savitzky-Golay平滑、基线校正预处理,采用SPSS 11.0抽取出9个主成分(累计贡献率达到99.89%)作为神经网络输入神经元,建立3层BP神经网络模型,模型能够有效辨识未知豆油脂的良莠以及不合格具体种类,类别预测正确率为100%。
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| 关 键 词： | 近红外透射光谱 主成分分析 BP神经网络 豆油脂鉴别 |
Qualitative discrimination of bean oil by near-infrared transmission spectra and artificial neural network |
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| ZHAO Xiao-yu,GUAN Yong,SHANG Ting-yi,CAI Li-jing,FANG Yi-ming.Qualitative discrimination of bean oil by near-infrared transmission spectra and artificial neural network[J].Acta Agriculturae Zhejiangensis,2011,23(4):0. |
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| Authors: | ZHAO Xiao-yu GUAN Yong SHANG Ting-yi CAI Li-jing FANG Yi-ming |
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| Institution: | 1College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;2 Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; 3Daqing Petrochemical Engineering CO., LTD, Daqing 163317, China |
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| Abstract: | A new method was developed to discriminate the quality of bean oil based on near-infrared transmission spectra and BP neural network.The near-infrared transmission spectra of qualified oil and unqualified oil(refined waste oil,fried oil and degenerative oil) were obtained from 10 000 to 3 500 cm-1.Spectral data were preprocessed by Savitky-Golay and baseline correction.Nine principal components(Cumulative contribution rate is 99.502%) extracted by SPSS 11.0 acted as input nerve cell of neural network,and th... |
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| Keywords: | near-infrared transmission spectra principal component analysis BP neural network bean oil discrimination |
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