The identification of traditional Chinese medicine is a difficult subject in pharmacology. The development of chemical measurement and pattern recognition make chemical pattern recognition possible. In this paper a new chemical pattern recognition method named NN2GA is proposed, in which a simple method named corresponding-peak distance calculation is used to compute the distance between samples for a nearest neighbor (NN) classifier, and a genetic algorithm is used to optimize the parameters of the NN classifier. A method named NN3GA, which is realized by adding a parameter to NN2GA, is proposed to improve the performance of the classifier. Experiments are carried out on chromatogram data of Panax, and comparisons are made between NNPR, NN2GA, and NN3GA classifiers. The results indicate that the method which combines NN with a genetic algorithm can identify medicine material having different harvest times or habitats. Furthermore, this method is robust, accurate and easy to implement.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Classification of traditional Chinese medicine by nearest-neighbour classifier and genetic algorithm


    Contributors:
    Zhang Lixin, (author) / Zhao Yannan, (author) / Yang Zehong, (author) / Wang Jiaxin, (author) / Cai Shaoqing, (author) / Liu Hongyu, (author)


    Publication date :

    2002-01-01


    Size :

    359271 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    S12 Classification of Traditional Chinese Medicine by Nearest-Neighbour Classifier and Genetic Algorithm

    Lixin, Z. / Yannan, Z. / Shaoqing, C. et al. | British Library Conference Proceedings | 2002


    Venus Express - Exploring Earth's Nearest Planetary Neighbour

    Schwehm, Gerhard H. / VEX Mission Team | AIAA | 2006


    Soft-Sensing Model Based on Multiple K-Nearest Neighbour Regression Algorithm

    Wang, G. / Li, P. / Su, C. | British Library Online Contents | 2011


    Genetic based nearest neighbor classifier and its application

    Chen, Z.-y. / He, Y.-y. / Chu, F.-l. et al. | British Library Online Contents | 2002