Asthma Syndrome Differentiation Method of Rough Set Combined with Neural Network
DONG Guohua
ZHU Lile
LI Jingjian
ZHU Xijun
Abstract：Syndrome differentiation of Traditional Chinese Medicine (TCM ) rely on personal experience to observe , judge and analysis ,such behavior has strong subjectivity .Using the method of intelligent information processing can make the quantization of syndrome differentiation in TCM diagnosis objectively .Using the theory of rough set to reduce the prop‐erty of data ,so as to simplify the decision table .Finding the more optimal solution for symptoms dialectical ,in order to a‐chieve a higher accuracy .The convergence effect and accuracy of asthma syndrome differentiation method of rough set com‐bined with BP neural network has improved greatly .Experimental results show that the fusion method can improve the train‐ing speed a lot and its accuracy can reach 90% ,the effect is greatly better than that of using single BP neural network classi‐fier .
Keywords：rough setBP neural networkasthmasyndrome differentiation
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1622-1626 )