Classification Recognition of Three Dimensional Fluorescence Spectrum Traditional Chinese Medicine Based on LLE-RF
FAN Feng-jie1,XUAN Feng-lai1,BAI Yang1,JI Hui-fang2
1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. The 261 Hospital of Liberation Army, Beijing 100094, China
Abstract：To research the non-linearity of the three dimensional fluorescence spectrum signal of traditional Chinese medicine, locally linear embedding (LLE) algorithm was used to extract the feature of three dimensional fluorescence spectrum signals for tonifying herbs. On the basis of the three dimensional fluorescence spectrum and contour line spectrum of 24 traditional Chinese medicines of different concentrations measured by fluorescence spectrometer,and ensemble empirical mode decomposition (EEMD) algorithm for noise reduction, the LLE algorithm was used to extract the characteristics of the three dimensional fluorescence spectrum data after noisereduction.Then, the extracted features were classified and identified by using random forest (RF) algorithm.In order to verify the effectiveness of LLE algorithm, the principal component analysis (PCA) algorithm was compared. Experimental results showed that the classification accuracy of the LLE-RF combination algorithm was 95%, which was higher than PCA-RF algorithm which proved the effectiveness of the algorithm.
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FAN Feng-jie,XUAN Feng-lai,BAI Yang,JI Hui-fang. Classification Recognition of Three Dimensional Fluorescence Spectrum Traditional Chinese Medicine Based on LLE-RF. Acta Metrologica Sinica, 2020, 41(2): 263-268.
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2020, Vol. 41 
