Title :
Traditional Chinese medicine recognition based on FNN
Author :
Li, Yibo ; Huang, Xiaoyuan
Author_Institution :
Northeast Univ., Liaoning, China
Abstract :
A fuzzy logic neural network based method is proposed. The method is only used to recognize the composition of traditional Chinese medicine and Chinese pharmaceutical medicine. The network is built on the idea of ART while referring to a normal fuzzy neural network. The network takes on two-phase modus operandi: first, study the network structure by samples; and then study the network parameters in a concentrated batch. The network customizes traditional Chinese medicine recognition. It can be used not only for traditional Chinese medicine but also for the recognition of the components of Chinese pharmaceutical medicine by its chromatograph.
Keywords :
ART neural nets; chemistry computing; fuzzy neural nets; pattern recognition; ART; Chinese pharmaceutical medicine; chromatograph; fuzzy neural network; traditional Chinese medicine recognition; Aerospace engineering; Electronic mail; Fuzzy logic; Fuzzy neural networks; Gas appliances; Gaussian processes; Neural networks; Pattern recognition; Pharmaceuticals; Subspace constraints;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176761
