Classification of traditional Chinese medicine by nearest-neighbour classifier and genetic algorithm
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1596-1601 vol.2
Tóm tắt
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.
Từ khóa
#Genetic algorithms #Neural networks #Nearest neighbor searches #Testing #Chemical technology #Optimization methods #Chemical analysis #Principal component analysis #Laboratories #Intelligent systemsTài liệu tham khảo
yuzhu, 1991, Quality assessment of the chinese traditional medicine rhubarb by chemical pattern recognition, Acta Pharmaceutica Sinica, 26, 132
yanjiang, 1995, Application of artificial neural networks to the feature extraction in chemical pattern recognition of the traditional chinese medicine venenum bufonis, Acta Pharmaceutica Sinica, 30, 698
xu, 1993, Quality assessment of the traditional chinese medicine by chemical pattern recognition, Acta Pharmaceutica Sinica, 28, 936
chen, 1996, Genetic algorithm and its application, People's Posts & Telecommunications Publishing House
goldberg, 1989, Genetiv Algorithm as Search Optimiation and Machine Learning
weijia, 1996, Matching for unknown crude herb by gc-computer, Journal of China-Japan Friendship Hospital, 10
qianguan, 1999, Studies on the quality of american cinseng(panax quinque folius ) by chemical pattern recognition, Chinese Traditional and Herbal Drugs, 30
xiukun, 1996, Studies on radix sophorae flayescentis quality by chemical pattern recognition, China Journal of Chinese Materia Medica, 21
kohavi, 0, The Wrapper Approach in Feature Selection f�r Knowledge Discovery and Data Mining, 33
davis, 1991, Handbook of Genetic Algorithms
keinosuke, 0, Introduction to statistical pattern recognition, Boston R Academic, 219
aha, 1991, Instance-Based Learning Algorithms, 6, 37