首页 | 本学科首页   官方微博 | 高级检索  
     

基于iPLS的油脂过氧化值近红外光谱特征波段选择
引用本文:王立琦,孔庆明,李贵滨,张礼勇,于殿宇,江连洲. 基于iPLS的油脂过氧化值近红外光谱特征波段选择[J]. 食品科学, 2011, 32(9): 97-100. DOI: 10.7506/spkx1002-6630-201109022
作者姓名:王立琦  孔庆明  李贵滨  张礼勇  于殿宇  江连洲
作者单位:1.哈尔滨理工大学测控技术与通信工程学院2. 哈尔滨商业大学计算机与信息工程学院3.东北农业大学食品学院
基金项目:国家“863”计划项目(2010AA101503); 黑龙江省教育厅科学技术研究项目(11551109)
摘    要:在大豆油脂过氧化值近红外光谱分析中,利用间隔偏最小二乘法(interval partial least square,iPLS)实现油脂光谱特征波段选择。分别将全谱波段以10个数据点间隔和20个数据点间隔分成若干个小波段,然后对全谱和每个小波段分别用PLS回归建模,用预测残差平方和(predicted residual sum of squares,PRESS)对模型进行评价。结果表明:经过特征波段选择后,50个波长点模型的决定系数、预测误差均方根、相对误差均值分别为0.9791、0.0513和2.12%,有效地减少建模的变量数,预测精度得到提高。

关 键 词:油脂过氧化值  近红外光谱  特征波段选择  iPLS  

Characteristic Band Selection of Near-infrared Spectrum for Determining Peroxide Value of Oil Based on iPLS
WANG Li-qi,,KONG Qing-ming,LI Gui-bin,ZHANG Li-yong,YU Dian-yu,JIANG Lian-zhou. Characteristic Band Selection of Near-infrared Spectrum for Determining Peroxide Value of Oil Based on iPLS[J]. Food Science, 2011, 32(9): 97-100. DOI: 10.7506/spkx1002-6630-201109022
Authors:WANG Li-qi    KONG Qing-ming  LI Gui-bin  ZHANG Li-yong  YU Dian-yu  JIANG Lian-zhou
Affiliation:1. School of Measurement-control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin150086, China;2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China;3. School of Food, Northeast Agricultural University, Harbin 150030, China
Abstract:During analyzing peroxide value of soybean oil by near-infrared spectroscopy,iPLS(interval partial least squares) was applied to select characteristic spectral bands of soybean oil.The whole spectrum was divided into several smaller bands using data intervals of 10 and 20 points,respectively.Then,PLS regression models were established by using whole spectrum and smaller bands.These models were evaluated by PRESS(predicted residual sum of squares).The results indicated that after selecting characteristic ban...
Keywords:oil peroxide value  near-infrared spectroscopy  characteristic band selection  interval partial least squares(iPLS)  
本文献已被 CNKI 等数据库收录!
点击此处可从《食品科学》浏览原始摘要信息
点击此处可从《食品科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号