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基于可见近红外光谱的糖类别快速鉴别研究
引用本文:林萍,陈永明,何勇.基于可见近红外光谱的糖类别快速鉴别研究[J].光谱学与光谱分析,2009,29(2).
作者姓名:林萍  陈永明  何勇
作者单位:浙江大学生物工程与食品科学学院,浙江,杭州,310029
基金项目:国家科技支撑计划,宁波市农业攻关国际合作项目 
摘    要:提出了一种用近红外光谱技术快速鉴别糖类别的新方法.采用近红外光谱获取白砂糖、木糖醇、双歧糖和葡萄糖等四种糖类别的光谱反射特征曲线,采用偏最小二乘法进行模式特征分析,经过交互验证法判别,确定最佳主成分数为11.完成特征提取后,将11种主成分作为神经网络的输入变量,建立了3层BP神经网络.四个类别的糖样本数均为40,共计160个样本,将其分成训练集样本120个和预测集样本40个,对40个未知样本进行预测,准确率为100%.说明所提出的方法对于糖类别具有很好的分类和鉴别能力.

关 键 词:偏最小二乘法  BP神经网络    光谱技术

Fast Discrimination of Varieties of Sugar Based on Spectroscopy Technology
LInN Ping,CHEN Yong-ming,HE Yong.Fast Discrimination of Varieties of Sugar Based on Spectroscopy Technology[J].Spectroscopy and Spectral Analysis,2009,29(2).
Authors:LInN Ping  CHEN Yong-ming  HE Yong
Institution:LIN Ping,CHEN Yong-ming,HE Yong College of Biosystems Engineering , Food Science,Zhejiang University,Hangzhou 310029,China
Abstract:Visible and near-infrared reflectance spectroscopy(NIRS) was applied in the discrimination of sugar varieties.NIRS is a pollution-free,rapid,quantitative and qualitative analysis method,with the characteristics of high speed,non-destructiveness,high precision and reliable detection data,etc.Four kinds of sugar were gained from the local market and each species was divided into 40 samples.One hundred twenty samples were used as the training set and the remainders(total 40 samples) formed the prediction set.S...
Keywords:Partial least square  BP neural network  Sugar  Spectroscopy technology  
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