Improved BP Algorithm and Its Application to Intelligent Diagnosis of Coronary Heart Disease
BP algorithm is improved and developed by using the iteration of Levenberg-Marquardt algorithm which improves the network convergence rate. After the analysis of the coronary heart disease cases provided by Cleveland Clinic Foundation, the 14 parameters which reflect the characteristics of coronary heart disease are concluded. On the basis of the improved BP algorithm, the simulation model of intelligence diagnosis is built. With the application of this method, the diagnosis rate can reach 99.3%.
improved BP Algorithm iteration of L-M weight intelligent diagnosis.
Liu Ming Wang Yi Dong Xiaogang Sun Qiucheng Tan Jiawei
College of Basic Science,Changchun University of Technology,Changchun 130012,China (Corresponding Author) College of Foreign Languages,Changchun University of Technology,Changchun 130
国际会议
2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)
成都
英文
1304-1307
2011-08-16(万方平台首次上网日期,不代表论文的发表时间)