Title :
TCM syndrome essential factor quantization analysis model based on Fuzzy-Neural Networks
Author :
Jiansheng, Li ; Jianjing, Shen ; Jinliang, Hu ; Yue Caiging ; Rongyan, Wang
Author_Institution :
Dept. of Geriatrics, Henan Coll. of Traditional Chinese Med., Zhengzhou
Abstract :
On the basis of present situation of study on TCM (traditional Chinese medicine) syndrome essential factor standard, a new model (fuzzy-neural networks based on dynamic Kohonen, FNN-DK) and its algorithms were put forward to explore TCM syndrome essential factor quantization analysis in way of fuzzy inference according to Kohonen neural network. The model was used in analysis of TCM syndrome essential factor, its rationalization and effection were test via Iris data and clinical data.
Keywords :
fuzzy neural nets; fuzzy reasoning; medical computing; medicine; Iris data; Kohonen neural network; TCM syndrome; clinical data; dynamic Kohonen; essential factor quantization analysis; fuzzy inference; fuzzy-neural networks; traditional Chinese medicine; Quantization; Dynamic kohonen; TCM syndrome quantization; computational intelligence; fuzzy inference;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4598321
