基于竞争神经网络的中医智能诊断推理新方法

A New Method Based on Competitive Neural Network about the Traditional Chinese Medicine Intelligent Diagnosis and Inference

文章通过融合模糊逻辑推理、神经网络技术及可拓学方法,研究了一种基于竞争神经网络的智能推理模型,实现了对中医专家诊断推理过程的模拟。在复杂的亚健康状态中医诊断推理过程中的应用结果表明,该文研究的智能推理模型可以较好地应用于中医辨证。

Through merging fuzzy logic inference,neural network control technology and extension theory,the objective of this article is to research an intelligent inference model based on competitive neural network,which has succeeded in imitating the Traditional Chinese Medicine specialist＇s diagnosis inference.The model can be used in complex sub- health＇s intelligent diagnosis inference.The result is testified to be feasible and effective for the Traditional Chinese Medicine diagnosis inference.