计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (18): 243-245.

• 工程与应用 • 上一篇    下一篇

中医八纲辨证神经网络构造技术研究

吴 芸1,周昌乐2   

  1. 1.厦门理工学院 计算机科学与技术系,福建 厦门 361024
    2.厦门大学 信息科学与技术系,福建 厦门 361005
  • 收稿日期:2007-12-03 修回日期:2008-01-16 出版日期:2008-06-21 发布日期:2008-06-21
  • 通讯作者: 吴 芸

Techniques of ANN’s construction to TCM eight principal syndromes

WU Yun1,ZHOU Chang-le2   

  1. 1.Department of Computer Science and Technology,Xiamen University of Technology,Xiamen,Fujian 361024,China
    2.School of Information Science and Technology,Xiamen University,Xiamen,Fujian 361005,China
  • Received:2007-12-03 Revised:2008-01-16 Online:2008-06-21 Published:2008-06-21
  • Contact: WU Yun

摘要: 由于一些常用中医辨证智能化方法不能符合中医八纲辨证特点,因此文章在传统人工神经网络模型的基础上,根据中医八纲辨证的特点,设计了一种用于中医八纲辨证的结构独特的新型人工神经网络模型——中医八纲辨证神经网络。它具有记忆标准样本病例的能力,并能对临床病例作出较准确的八纲辨证分型。

Abstract: Because the computer technologies in common used can not accord with the characters of the diagnosis of TCM,a new kind of ANN model is designed according the features of the Eight Principal Syndromes and the traditional ANN model,which is mostly used in Eight Principal Syndromes(EPSNN).The EPSNN has the memorial ability to the sample cases,and can make the difference of syndrome more precisely.