摘要
用偏最小二乘法(PLS)和多元线性回归法(MR)分别对钴、镍、铜三组分混合体系进行同时测定,证明PLS法对光谱重叠严重的体系较MR法有更好的预报准确性.着重讨论了校正集样品数n、波长数,和特征变量数d等测定参数对预报结果的影响.
The partial least-square (PLS) and multivariable linear regression methods are used in the simultaneous determination of Co, Ni and Cu mixtures. The effects of parameters, the number of calibration samples n, the number of wavelengths p and the latent variables d, on the prediction of results are discussed. The results show that the accuracy of PLS analysis is superior to that of MR method for determining a multicomponent system in the case of the spectra with a low selectivity.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1991年第2期177-179,共3页
Chemical Journal of Chinese Universities
关键词
吸光光度法
多组分体系
测定
MR
钴
Partial least-square method, Multivariable linear regression method, Simultaneous determination of Co, Ni and Cu
