Information Fusing Recognition of Traditional Chinese Medicine (TCM) Pulse State Based on Stochastic Fuzzy Neural Network
QIN Jian
LIU Hong-jian
DENG Wei
WU Guo-zhen
CHEN Shu-qing
JING Ming-hua
摘要：Based on the fuzzy characteristic of the pulse state and syndromes differentiation thinking mode of TCM, an information fusing recognition method of pulse states based on SFNN (Stochastic Fuzzy Neural Network) is presented in this paper. With the learning ability in parameters and structure, SFNN fuses the measurement information of three pulse-state sensors distributed in Cun, Guan,and Chi location of body for the pulse state recognition. The experimental results show that the percentage of correct recognition with new method is higher than that by single-data recognition one, with fewer off-line train numbers.
机标关键词：Traditional Chinese Medicinepulse state recognitionFuzzy Neural Networkinformation fusinglearning abilitynew methodmethod ofmode of
分类号：R3(基础医学)
资助基金：中国科学院资助项目(30371717)State Administration of Traditional Chinese Medicine of China(02-03JP37)广东省自然科学基金(031688)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 114-119 )
英文信息