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