红外与毫米波学报2011，Vol.30Issue(5)：458-462,5.
BiPLS结合模拟退火算法的近红外光谱特征波长选择研究
Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA
摘要
Abstract
To improve and simplify the NIR prediction model of the soluble solid content ( SSC) of strawberry, backward interval partial least squares ( BiPLS) and simulated annealing algorithm (SAA) were combined to select the efficient wavelengths. The strawberry spectra were divided into 21 intervals, among which 4 subsets, I. e. No. 8, 13, 16 and 17 were selected by BiPLS. Then SAA was used to select variables in these informative regions, which were used for regression variables of MLR model. Finally, 7565 cm-1, 7706 cm-1, 8289 cm-1, 8489 cm-1, 8499 cm-1, 8724 cm-1 and 8807 cm"1 were used to build a MLR model. The MLR model performs well with root mean standard error of prediction (RM-SEP) of 0.428 for SSC, which out performs models using PLS and BiPLS. This work proved that the BiPLS-SAA could determine optimal variables in NIR spectra and improve the accuracy of model.关键词
近红外光谱/模拟退火算法/反向偏最小二乘法/波长选择Key words
NIR spectroscopy/ Backward interval PLS/ Simulated annealing algorithm/ Wavelength selection分类
化学化工引用本文复制引用
石吉勇,邹小波,赵杰文,毛罕平..BiPLS结合模拟退火算法的近红外光谱特征波长选择研究[J].红外与毫米波学报,2011,30(5):458-462,5.基金项目
国家863项目(2008AA10Z208) （2008AA10Z208）
国家自然科学基金(60901079) （60901079）
江苏省六大人才高峰,青蓝工程项目 （）
国家博士后基金 （）
优秀博士论文基金 （）
江苏省普通高校研究生科研创新计划项目资助(CX10B_277Z) （CX10B_277Z）
