检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘沐涵 陈国庆[1,2] 肖榕阳 徐煜杰 陈哲涵 蔡纪元 LIU Muhan;CHEN Guoqing;XIAO Rongyang;XU Yujie;CHEN Zhehan;CAI Jiyuan(School of Science, Jiangnan University, Wuxi 214122, China;Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi 214122, China;School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)
机构地区:[1]江南大学理学院,无锡214122 [2]江苏省轻工光电工程技术研究中心,无锡214122 [3]江南大学物联网工程学院,无锡214122
出 处:《激光技术》2021年第3期303-306,共4页Laser Technology
基 金:国家大学生创新训练计划资助项目(201910295040Z);国家重点研发计划资助项目(2018YFC1604204-3)。
摘 要:为了证明3维荧光光谱法对市面上的牛奶饮料进行快速分类的有效性,采集了市面上购买的12个不同品牌的牛奶饮料的3维荧光光谱,对光谱数据进行了预处理。采用主成分分析、因子分析结合聚类分析的方法对预处理后的光谱数据进行分类,通过因子分析提取出8个因子代表3维荧光光谱数据,对降维后的数据进行了聚类分析。结果表明,主成分分析保留前两个主成分的累积贡献率达到95.15%,能较好地降低光谱数据的维数,但是分类阈值不易确定;选择2.5作为阈值距离,可将含乳饮料分为配制型含乳饮料、发酵型含乳饮料和乳酸菌饮料,分类准确率达到83%以上。该研究验证了3维荧光光谱结合因子分析对含乳饮料进行分类的可行性。In order to prove the effectiveness of 3-D fluorescence spectroscopy in the rapid classification of milk beverages on the market,the 3-D fluorescence spectra of 12 different brands of milk beverages which were brought from the market were collected and the spectral data were pretreated.The spectral data after pretreatment were classified by principal component analysis(PCA),factor analysis,and cluster analysis.Through factor analysis,8 factors representing 3-D fluorescence spectrum data were extracted,and the data after dimension reduction were analyzed by clustering.The results showed that the cumulative contribution rate of the first two principal components in PCA was 95.15%,which could reduce the dimension of spectral data well,but the classification threshold was not easy to be determined.And by selecting 2.5 as a threshold distance,these milk beverages could be divided into formulated milk beverages,fermented milk beverages and lactobacillus beverages and the classified accuracy can reach above 83%.This study verified the feasibility of 3-D fluorescence spectrum binding factor analysis for classification of milk beverages.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.4