title: An Ensemble Successive Project Algorithm for Liquor Detection Using Near Infrared Sensor.
abstract: Spectral analysis technique based on near infrared (NIR) sensor is a powerful tool for complex information processing and high precision recognition, and it has been widely applied to quality analysis and online inspection of agricultural products. This paper proposes a new method to address the instability of small sample sizes in the successive projections algorithm (SPA) as well as the lack of association between selected variables and the analyte. The proposed method is an evaluated bootstrap ensemble SPA method (EBSPA) based on a variable evaluation index (EI) for variable selection, and is applied to the quantitative prediction of alcohol concentrations in liquor using NIR sensor. In the experiment, the proposed EBSPA with three kinds of modeling methods are established to test their performance. In addition, the proposed EBSPA combined with partial least square is compared with other state-of-the-art variable selection methods. The results show that the proposed method can solve the defects of SPA and it has the best generalization performance and stability. Furthermore, the physical meaning of the selected variables from the near infrared sensor data is clear, which can effectively reduce the variables and improve their prediction accuracy.
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. quff1128@163.com.
authors.forename: Fangfang
authors.initials: F
authors.lastname: Qu
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. rendong5227@163.com.
authors.forename: Dong
authors.initials: D
authors.lastname: Ren
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. wangjh@nercita.org.cn.|Beijing Research Center for Agricultural Standards and Testing, Beijing 100097, China. wangjh@nercita.org.cn.
authors.forename: Jihua
authors.initials: J
authors.lastname: Wang
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. zhangzh_life@163.com.
authors.forename: Zhong
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. luna199322@163.com.
authors.forename: Na
authors.initials: N
authors.lastname: Lu
authors.affiliation: College of Computer and Information Technology, Three Gorges University, Yichang 443002, China. 18230348796@163.com.
authors.forename: Lei
authors.initials: L
authors.lastname: Meng
mesh_terms: D000434:Alcoholic Beverages / Q000032:analysis* / Q000592:standards; D000438:Alcohols / Q000032:analysis*; D000465:Algorithms; D016000:Cluster Analysis; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D000438:Alcohols
keywords: information processing; near infrared sensors; spectroscopy; successive projections algorithm; variable selection