论文部分内容阅读
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，系统分析结果证实了人工神经网络用于脉象分析的可行性和优势
A kind of pulse intelligence analysis system model based on artificial neural network is proposed. Due to the requirements of pulse ambiguity processing, the author established its artificial neural network identification system. And does not take a single pulse itself as the object of processing, and consider whether it is some combination of features that are enough to distinguish them, and designs a network system structure that adapts to it. Through the actual processing of the sampled data, training according to each characteristic network , A sample database was formed. The characteristics of neural network for pulse analysis were discussed. The results of system analysis confirmed the feasibility and advantage of artificial neural network for pulse analysis