The fluorescence spectroscopy recognition of the traditional Chinese medicine injection based on the lifting wavelet-BP-Fuzzy Neural Network

There is a lot of noise in the original spectral signal collected from the detector. In this paper, the lifting wavelet was used to remove the noise. The singular value eigenvector obtained by the Excitation-Emission Matrix (EEM) factorization from the fluorescence spectroscopy was used to recognize the information of the traditional Chinese medicine injection. The singular value eigenvector was trained by the BP-Fuzzy Neural Network and the recognition of the many kinds of traditional Chinese medicine injection was realized by it. The experiment results show that it is effective to remove the noise in the spectral signal and hold the useful local signal. It can effectively recognize the fine distinction between the different spectrums and realize the identification of the Traditional Chinese Medicine Injection.