Research on the Similarity Algorithm of Chromatographic Fingerprint Based on Information Entropy
In order to reduce the error of interangle cosine method or correlation method in the chromatographic fingerprints analysis,an improved similarity algorithm that assigns different weight according to information entropy was proposed in this paper.In this way,23 samples of Exocarpium Citrus Grandis collected from different places were obviously classified as two different species,which solved the problem that it is difficult to make an accurate identification either by the traditional similarity algorithm or its optimization by coefficient of variation.Further more,better results were obtained by compared with discrimination model base on principal component analysis and artificial neural network.So,the method based on information entropy was more suitable for quick,effective discrimination of species and origin of traditional Chinese medicine.
information entropy chromatographic fingerprint similarity
Hang Wei Li Lin Pingping Chen Dingying Tan Qinqun Chen
School of Medical Information Engineering,Guangzhou University of Chinese Medicine,Guangzhou,China Chinese Material Medical College,Guangzhou University of Chinese Medicine,Guangzhou,China
国际会议
沈阳
英文
214-218
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）