激光与光电子学进展, 2015, 52 (4): 043003, 网络出版: 2015-04-03
基于联合区间偏最小二乘判别分析的猪肉近红外光谱定性建模分析 下载: 808次
Qualitative Analysis Model of Near Infrared Spectra of Pork Based on Synergy Interval Partial Least Squares Discriminant Analysis
光谱学 近红外光谱 猪肉 定性建模 偏最小二乘判别分析 联合区间偏最小二乘回归 spectroscopy near infrared spectroscopy pork qualitative analysis model partial least squares discriminant analysis synergy interval partial least squares regression
摘要
为解决偏最小二乘判别分析(PLSDA)建模时光谱区域中的噪声及冗余信息干扰问题,提出一种基于联合区间偏最小二乘判别分析(SiPLSDA)算法,并将该算法应用于猪肉近红外光谱的定性建模分析。SiPLSDA 利用联合区间偏最小二乘回归(SiPLS)进行光谱特征区域筛选,在筛选出来的光谱区域内建立数据的定性预测模型。采用Antaris II 快速傅里叶变换近红外光谱分析仪获取波数范围为10000~4000 cm-1的猪肉样本近红外光谱,采用标准正态变量变换(SNV)进行近红外光谱的预处理,用SiPLSDA 建立猪肉近红外光谱的定性模型。实验结果表明,SiPLSDA 建立的预测模型对猪肉储藏时间的识别率达到93.94%,高于基于全光谱区域建立的PLSDA 预测模型的识别率。
Abstract
To solve the problems of noise and redundancy in spectra regions which partial least squares discriminant analysis (PLSDA) encounters, synergy interval partial least squares discriminant analysis (SiPLSDA) is proposed and is used in the qualitative analysis model of near infrared spectra of pork. With the help of synergy interval partial least squares (SiPLS), SiPLSDA can select the spectral regions where the prediction model is constructed. Antaris II Fourier transform-near infrared (FT-NIR) spectrophotometer is used to obtain near infrared reflectance (NIR) spectra of pork samples in the range of 10000~4000 cm- 1. NIR spectra are preprocessed by standard normal variate (SNV) transformation. A qualitative analysis model of NIR spectra is built by SiPLSDA. The experimental results show that according to the SiPLSDA prediction model, the recognition ratio of pork storage time is up to 93.94 % and it is higher than that of PLSDA.
武小红, 孙俊, 武斌, 唐凯. 基于联合区间偏最小二乘判别分析的猪肉近红外光谱定性建模分析[J]. 激光与光电子学进展, 2015, 52(4): 043003. Wu Xiaohong, Sun Jun, Wu Bin, Tang Kai. Qualitative Analysis Model of Near Infrared Spectra of Pork Based on Synergy Interval Partial Least Squares Discriminant Analysis[J]. Laser & Optoelectronics Progress, 2015, 52(4): 043003.