DocumentCode :
2397150
Title :
Using associative neural network to interpret syndromes of Traditional Chinese Medicine
Author :
Xi, Guacheng ; Chen, Jianxin ; Yi, Jianqiang ; Zhao, Dongbin ; Wang, Yongyan
Author_Institution :
Lab. of Complex Syst. & Intelligence Sci., Chinese Acad. of Sci., Beijing
fYear :
0
fDate :
0-0 0
Firstpage :
1047
Lastpage :
1052
Abstract :
Millions of people benefit from traditional Chinese medicine (TCM) every day. Unfortunately, till now, TCM has not been accepted as science by world, especially by western people. Bian Zheng Lun Zhi is the distillation of TCM. Syndrome is the key in the system of Bian Zheng Lun Zhi. Studies about the syndrome is the core of study of the basic theory of TCM. We creatively interpret TCM through a view of cognitive science and take syndromes of TCM as concepts of the brain. This paper tries to introduce the syndrome to western people, in order to let western people understand our viewpoints more easily. The best method is to adopt a manner that is easily understood by them, already exists, and has been thought to be right. So we employ neural networks presented by foreign people as the brain model instead of the our presented network. By using two classic cases of TCM, we successfully clarify the three main properties of syndrome in TCM
Keywords :
brain models; medicine; neural nets; Bian Zheng Lun Zhi; associative neural network; cognitive science; traditional Chinese medicine; Automation; Biological neural networks; Biomedical imaging; Brain modeling; Electronic mail; History; Intelligent systems; Medical diagnostic imaging; Neural networks; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
Type :
conf
DOI :
10.1109/ICNSC.2006.1673296
Filename :
1673296
Link To Document :
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