title: [Influence of LPLS algorithm parameters on NIR veracity].
abstract: The theory of local partial least square (LPLS) algorithm was described based on locally weighted regression algorithm (LWR). The influence of data processing parameters, such as principal component numbers and local set-up sample number in LPLS mode, on the NIR veracity was studied with homemade grating diffuse NIR instrument using Yunnan flue-cured tobacco. Results showed that for nicotine model, the principal component number decided by cross validation was not the best choice, and better results could be achieved by reducing the principal component number; using 30-50 samples to set up NIR model, the veracity of total sugar, total nitrogen, and nicotine could be improved by 7%, 14% and 10%, respectively. So, LPLS algorithm can effectively improve NIR model's veracity, and is a good method to set up robust NIR models.
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, Beijing 100094, China.
authors.forename: Jun-hui
authors.initials: JH
authors.lastname: Li
authors.forename: Xi-yun
authors.initials: XY
authors.lastname: Qin
authors.forename: Wen-juan
authors.initials: WJ
authors.lastname: Zhang
authors.forename: Gui-min
authors.initials: GM
authors.lastname: Cai
authors.forename: Yu-hong
authors.initials: YH
authors.lastname: Yang
authors.forename: Long-lian
authors.initials: LL
authors.lastname: Zhao
authors.forename: Zhi-qiang
authors.initials: ZQ
authors.lastname: Chang
authors.forename: Li-li
authors.initials: LL
authors.lastname: Zhao
authors.forename: Lu-da
authors.initials: LD
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D002241:Carbohydrates / Q000032:analysis; D016018:Least-Squares Analysis; D009538:Nicotine / Q000032:analysis; D009584:Nitrogen / Q000032:analysis; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D014026:Nicotiana / Q000737:chemistry
chemical_list: D002241:Carbohydrates; D009538:Nicotine; D009584:Nitrogen