TCM Pulse-Condition Classification Method Based on BP Neural Network

摘要：

In order to achieve the objective and exact classification of the traditional Chinese medicine pulseconditions, a pulse-condition recognition method based on BP neural network has been successfully developed. The influence of concealed layer node number on convergent speed and recognition accuracy and the influence of learning rate on convergent speed are considered. The BP network-training algorithm is improved, which obtains satisfactory network convergent error and recognition effect. The recognition tests of many pulse-condition samples indicate that our method works well in classifying the traditional Chinese medicine pulseconditions accurately and quickly.

关键词： pulse condition pattern classification neural network back propagation algorithm

作者: Wang Binghe Guo Hongxia Zheng Siyi Yang Xilin

作者单位: Department of Communication Engineering Engineering College of the Chinese Peoples Armed Police Force Xian P.R.China

会议类型: 国际会议

会议名称: The 1st International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 639-642

在线出版日期: 2007-07-06（万方平台首次上网日期，不代表论文的发表时间）