脉象人工神经网络分析系统模型

An Intelligent Traditional Chinese Medicine Pulse Analysis System Model Based on Artificial Neural Network

提出一种以人工神经网络为手段的脉象智能分析系统模型。由于脉象模糊性处理的要求，作者建立了其人工神经网络辨识系统。并且不以单一脉本身为处理对象，而考虑它是否是某些足以将其区分的特征的组合，设计了与此相适应的网络系统结构；通过对采样数据的实际处理，按照各特征网络训练的要求，形成了样本数据库；探讨了神经网络用于脉象分析的特点。

An intelligent analysis system model was designed which applied artifical neural network to adapt the fuzzy feature in the traditional Chinese medicine pulse analysis to distinguish insignificant difference in pulse wave along the radial artery. Clinical samples were collected to train and test the system. The neural networks were trained to recognize a group of features in the different pulses instead of pulses themselves. Sample database was set up,pulse features was extracted and pulse feature classification neural networks were formed. Results of the system established the feasibility to use neural network in pulse processing.