哈尔滨工程大学学报2006，Vol.27Issue(z1)：471-473,3.
Pulse frequency classification based on BP neural network
Pulse frequency classification based on BP neural network
WANG Rui 1WANG Xu 1YANG Dan 1FU Rong1
作者信息
摘要
Abstract
In Traditional Chinese Medicine (TCM), it is an important parameter of the clinic disease diagnosis to analysis the pulse frequency. This article accords to pulse eight major essentials to identify pulse type of the pulse frequency classification based on back-propagation neural networks (BPNN). The pulse frequency classification includes slow pulse, moderate pulse, rapid pulse etc. By feature parameter of the pulse frequency analysis research and establish to identify system of pulse frequency features. The pulse signal from detecting system extracts period, frequency etc feature parameter to compare with standard feature value of pulse type. The result shows that identify-rate attains 92.5% above.关键词
back-propagation neural network/pulse frequency/pulse/pulse typeKey words
back-propagation neural network/pulse frequency/pulse/pulse type分类
信息技术与安全科学引用本文复制引用
WANG Rui,WANG Xu,YANG Dan,FU Rong..Pulse frequency classification based on BP neural network[J].哈尔滨工程大学学报,2006,27(z1):471-473,3.
