摘要
针对平行因子算法在三维荧光光谱分析中存在的迭代缓慢、对组分数敏感的问题,提出一种优化迭代公式的改进算法。采用MATLAB编写平行因子改进算法程序,通过扫描自配置油类实验样品,获得三维荧光光谱图,用改进后的平行因子算法分析样品三维荧光数据,实现对样品组分识别,提高了分析结果的可靠度。
Aiming at the problem of the parallel factor algorithm in the analysis of three dimensional fluorescence spectra of iterative slowly and sensitive to the fractions, puts forward an improved algorithm is proposed to optimize based on the iterative formula. Using MATLAB prepare parallel factor algorithm procedures, scanning the self configuration experimental samples, obtained the 3D fluorescence spectra, analysis of 3D fluorescence data by improved parallel factor algorithm, realize the recognition of the sample composition, improve the reliability of the analysis.
出处
《广东化工》
CAS
2014年第18期20-21,44,共3页
Guangdong Chemical Industry
关键词
平行因子算法
三维荧光光谱
组分识别
parallel factor algorithm
three dimensional fluorescence spectra
component identification
