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支持向量机结合近红外光谱法测定杉木木质素的含量     被引量:11

Determination of Lignin Content of Chinese Fir Wood by Support Vector Machine and Near-infrared Spectrometry

文献类型:期刊文献

中文题名:支持向量机结合近红外光谱法测定杉木木质素的含量

英文题名:Determination of Lignin Content of Chinese Fir Wood by Support Vector Machine and Near-infrared Spectrometry

作者:黄安民[1] 焦淑菲[2] 任海青[1] 相玉红[2] 张卓勇[2]

第一作者:黄安民

机构:[1]中国林业科学研究院木材工业研究所;[2]首都师范大学化学系

年份:2009

卷号:29

期号:5

起止页码:1-5

中文期刊名:林产化学与工业

外文期刊名:Chemistry and Industry of Forest Products

收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD_E2011_2012】;

基金:北京市自然科学基金资助项目(6092021);"十一五"国家科技支撑计划资助(2006BAD03A15);北京市教育委员会科技发展项目(KM200710028009)

语种:中文

中文关键词:支持向量机;近红外光谱;杉木;木质素

外文关键词:support vector machine;near-infrared spectroscopy;Chinese fir;lignin

分类号:TQ351.013

摘要:采用支持向量机(SVM)结合近红外光谱(NIR)技术建立测定杉木中木质素的定量分析模型。以47个杉木样品作为实验材料,用常规方法测定了样品中木质素的含量,用近红外光谱仪采集相应的光谱,对光谱数据进行平滑、求导、小波压缩以及归一化,结合支持向量机,以径向基(RBF)作为核函数,建立了测定杉木中木质素含量的模型。校正相对误差的平方和为0.007433,预测相对误差的平方和为0.001219。结果表明,该方法测量比较准确,可以用于杉木中木质素含量的预测。
Via near-infrared spectroscopy (NIR)combined with support vector machine (SVM), a model for determining lignin content of Chinese fir wood was established. Forty-seven Chinese fir samples were used as experimental material. Lignin content of samples was measured according to wet-chemical method. The spectra of Chinese fir samples were recorded by near infrared spectrometer. The spectral data were pretreated by smoothing, derivating, compressing and scaling. Radial basis function (RBF) was used as kernel function to establish a model for determing lignin content. The square sum of relative calibration error and relative prediction error were 0.007433 and 0.001 219, respectively, which demonstrated that this method is precise for determination of lignin content of Chinese fir wood.

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