| 基于聚类分析的局部建模方法在茶叶近红外光谱分析中的应用 |
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| 引用本文： | 张建庭,吕进,刘辉军,林敏,于良子.基于聚类分析的局部建模方法在茶叶近红外光谱分析中的应用[J].理化检验(化学分册),2010(2). |
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| 作者姓名： | 张建庭 吕进 刘辉军 林敏 于良子 |
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| 作者单位： | 中国计量学院计量测试工程学院;中国农业科学院茶叶研究所; |
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| 基金项目： | 浙江省科技厅重点科研项目(2006C21044,2009F70016);;浙江省重中之重学科开放基金(2006KF03)资助 |
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| 摘 要： | 为提高茶叶中咖啡碱、氨基酸近红外光谱分析模型的预测精度,采用基于聚类分析的局部建模方法。先提取茶叶样品光谱数据的特征因子,使用聚类分析对样品进行硬划分,经样品间距离和类间距离判别,确定单个模型定标样品个数。完成特征谱带的分析并进行波段选择后,随机抽取15个样品,偏最小二乘法局部建模结果显示:咖啡碱、氨基酸的预测平均相对偏差分别由聚类前的5.80%和6.14%下降为聚类后的2.75%和2.44%,模型预测精度显著提高。
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| 关 键 词： | 近红外光谱 茶叶 聚类分析 局部样本 偏最小二乘 |
Application of Local Modelling Based on Cluster Analysis to NIRS Analysis of Tea |
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| Institution: | 1.Dept.of Metrological Testing and Engineering/a>;China College of Metrology/a>;Hangzhou 310018/a>;China/a>;2.Research Institute of Tea/a>;Chinese Academy of Agriculture/a>;Hangzhou 310008/a>;China |
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| Abstract: | The local modelling based on cluster analysis was applied to NIRS analysis of tea to promote the predictive testing precision in determination of its caffeine and amino acid contents.The characteristic factors of spectral data of tea sample were collected,and crisp partition of the samples was done by cluster analysis.Through differentiation of the sample distances and inter-class distances,number of target sample with single model was determined.After completion of analyzing the characteristic spectral ban... |
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