基于神经网络的中医证候量化诊断模型探索

Exploration of the Neural Network Models in the Application of TCM Syndrome Quantization and Diagnosis

论述中医证候量化的内涵,分析传统统计学方法用于中医证候量化的局限性及单一BP网络用于中医证候诊断方面研究中存在的问题,说明对传网络原理和改进的BP网络原理,建立对传网络模型和改进的BP网络模型,通过模型检验分析了两者结合的优势和可行性。

The paper describes the intension of TCM syndrome quantization, analyses the exsiting problems of traditional statistical methods applied in TCM syndrome quantization and the single BP Neural Network used in TCM syndrome diagnosis, explains the theory of the improved Counter Propagation Network(CPN) and the improved BP Neural Network, sets up the improved CPN Model and the improved BP Neural Network Model, analyses the advantage and availability of Neural Network Models of the both by means of the testing of the models.