[Influence of LPLS algorithm parameters on NIR veracity].
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.
Li
Jun-hui
JH
College of Information and Electrical Engineering, China Agricultural University, Beijing 100094, China.
Qin
Xi-yun
XY
Zhang
Wen-juan
WJ
Cai
Gui-min
GM
Yang
Yu-hong
YH
Zhao
Long-lian
LL
Chang
Zhi-qiang
ZQ
Zhao
Li-li
LL
Zhang
Lu-da
LD
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
D002241:Carbohydrates; D009538:Nicotine; D009584:Nitrogen