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| 基于RBF网络和NIRS的绿茶水分含量分析模型 | |
| 引用本文： | 刘辉军,吕进,林敏,陈华才,于良子.基于RBF网络和NIRS的绿茶水分含量分析模型[J].中国计量学院学报,2005,16(3):188-190. |
| 作者姓名： | 刘辉军 吕进 林敏 陈华才 于良子 |
| 作者单位： | 1. 中国计量学院,计量技术工程学院,浙江,杭州,310018 2. 中国计量学院,计量技术工程学院,浙江,杭州,310018;上海理工大学,光电信息工程学院,上海,200093 3. 中国农业科学院,茶叶研究所,浙江,杭州,310008 |
| 基金项目： | 浙江省自然科学基金资助项目（No.202081） |
| 摘 要： | 基于径向基函数(RBF)和反向传播(BP)神经网络分别建立了绿茶水分含量的近红外光谱分析模型.结果表明:RBF网络预测模型的相关系数r(p)=0.933,预测标准误RMSEP=0.528%;BP网络预测模型的相关系数r(p)=0.914,预测标准误RMSEP=0.598%.RBF网络模型优于BP网络模型. |
| 关 键 词： | 绿茶水分 径向基函数(RBF) 近红外光谱 定量分析 |
| 文章编号： | 1004-1540（2005）03-0188-03 |
| 收稿时间： | 2005-05-27 |
| 修稿时间： | 2005-05-27 |
Study on the near infrared spectroscopy model of the moisture content determination based on radial basis function networks |
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| LIU Hui-jun,LU Jin,LIN Min,CHEN Hua-cai,YU Liang-zi.Study on the near infrared spectroscopy model of the moisture content determination based on radial basis function networks[J].Journal of China Jiliang University,2005,16(3):188-190. | |
| Authors: | LIU Hui-jun LU Jin LIN Min CHEN Hua-cai YU Liang-zi |
| Affiliation: | 1. College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China ; 2. College of Optics and Electronics Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 3. Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China |
| Abstract: | Mathematic models to determinate the moisture content in green tea by the near infrared spectroscopy(NIR) were built based on radial basis function(RBF) neural networks and back propagation(BP) neural networks.The correlation coefficient(r) and root mean square error of predication(RMSEP) of the optimal RBF model were 0.933 and 0.528%,while that of the BP model were 0.914 and 0.598%.The RBF model is better than the BP model. |
| Keywords: | green tea moisture content quantitative analysis radial basis function networks(RBF) near infrared spectroscopy(NIR) |
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