摘要
测定了不同种类汽油的近红外光谱,在主因子分析的基础上引入了系统聚类法和模糊聚类法对汽油样本集合进行分类和识别研究。建立了基于近红外光谱的快速鉴别汽油类型的模型。
Based on principal component analysis, fuzzy logic methods were introduced to classify different gasoline samples with NIR spectroscopy determination. A mathematical model was established to rapidly classify and discriminate gasoline samples, which will be the basis for predicting the physico chemical property of gasoline.
出处
《石油炼制与化工》
EI
CAS
CSCD
北大核心
1998年第6期59-61,共3页
Petroleum Processing and Petrochemicals
基金
中国石油化工总公司资助项目
关键词
汽油
近红外光谱法
模糊聚类分析
gasoline, infrared spectroscopy, principal component analysis, fuzzy logic cluster