摘要
提出了把主要成分分析用于校准和预报样本的新的减秩过程,并根据奇值分解所求的特征值所占其总和的百分比来确定主成分数。将该法应用于稠环芳烃萘、芴、菲、芘混合物荧光法的定量分析中,讨论了主成分数的影响,平均误差<8％,最大误差大约13％。
Here is a new generalized rank annihilation strategy by which the application of principal Component analysis to the calibration and prediction samples is performed. The number of principal components are determined according to the percentage of a eigenvalue in the total sum of eigenvalues acquired in the singular- value decomposition. This strategy was used to quantitatively analyze the multinuclear aromatic hydrocarbon mixtures consisting of naphthalene, phenanthrene, pyrene and fluorene by fluorimetry. The influence of the number of pricipal components is discussed and the averaged percent error of prediction is <8% and the largest error is about 13%.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1991年第10期1308-1311,共4页
Chemical Journal of Chinese Universities
关键词
稠环芳烃
广义减失法
荧光法
测定
Generalized rank annihilation, Condensed nucleus aromatic hydrocarbon, Fiuorimetry
