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| PLS-BP法近红外光谱技术同时测定鲜乳中四种主成分 | |
| 引用本文： | 刘波平,荣菡,罗香,邓泽元,曹树稳.PLS-BP法近红外光谱技术同时测定鲜乳中四种主成分[J].分析试验室,2009,28(6). |
| 作者姓名： | 刘波平 荣菡 罗香 邓泽元 曹树稳 |
| 作者单位： | 1. 南昌大学食品科学与技术国家重点实验室,南昌330047;江西省分析测试中心,南昌330029 2. 南昌大学食品科学与技术国家重点实验室,南昌,330047 3. 江西省分析测试中心,南昌,330029 |
| 基金项目： | 教育部南昌大学食品科学重点实验室开放基金，江西省星火计划项目 |
| 摘 要： | 基于近红外光谱技术,将偏最小二乘法(Partial Least Squares,PLS)和单隐层的反向传播网络(Back-Propagation Network,BP)联用并测定了鲜乳中4种主成分含量.用PLS法将原始数据压缩为主成分,取前3个主成分的14个数据输入网络,以Kolmogorov定理为依据,经过实验确定中间层的神经元个数为29,初始训练迭代次数为1000,建立了脂肪、蛋白质、乳糖、牛乳总固体4种主成分含量的预测校正模型.PLS-BP模型对样品4个组分含量的预测决定系数(R2)分别为:0.961、0.974、0.951、0.997;本研究为近红外光谱技术在鲜乳多组分快速检测提供了新思路. |
| 关 键 词： | 近红外光谱 鲜乳 偏最小二乘 BP网络 |
Determination of four components in raw milk using near infrared spectroscopy by PLS-BP model |
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| LIU Bo-ping,RONG Han,LUO Xiang,DENG Ze-yuan,CAO Shu-wen.Determination of four components in raw milk using near infrared spectroscopy by PLS-BP model[J].Chinese Journal of Analysis Laboratory,2009,28(6). | |
| Authors: | LIU Bo-ping RONG Han LUO Xiang DENG Ze-yuan CAO Shu-wen |
| Institution: | 1.National Key Laboratory of Food Science and Technology;Nanchang University;Nanchang 330047;2.Jiangxi Analysisting and Testing Center;Nanchang 330029 |
| Abstract: | Partial least squares(PLS) and back-propagation network(BP) prediction model for the determination of fat,protein,lactose,total solids in raw milk had been established with good veracity based on near infrared spectroscopic technique. 14 peak value data from 3 principal components straight ahead compressed from original data by PLS were taken as inputs of while 4 predictive targets as outputs.According to kolmogorov theorem and experiment,29 nerve cells were chosen as hidden nodes for its prediction with th... |
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| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |