YJ Qiao, X Wang, KS Bi , X Luo, . APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS J. Acta Pharmaceutica Sinica, 1995, 30(9): 698-701.
Citation: YJ Qiao, X Wang, KS Bi , X Luo, . APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS J. Acta Pharmaceutica Sinica, 1995, 30(9): 698-701.

APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS

  • A three-layer back propagation neural network was employed to extract featuresfrom HPLC data of the traditional Chinese medicine Venenum bufonis. method does not need torecalculate the data matrix after introducing a new sample.The result shows that the BP neuralnetwork can be used in the chemical pattern recognition directly.
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