用于中医证候规范研究的模糊神经网络分析模型

A Fuzzy-neural Net Analysis Model Used to TCM Syndrome Standard Study

为建立一种用于中医证候规范化研究的新模型——基于动态Kohonen网络的模糊神经网络,在分析中医证候规范化研究方法与存在的问题的基础上,采用基于动态Kohonen网络的模糊推理方法,给出了模型的学习算法和新的研究方法,并将该模型应用于中医证候规范化研究,通过Iris数据和临床数据检验,验证了模型的正确性和方法的有效性。

For the sake of making a new model （Fuzzy-Neural Net based on Dynamic Kohonen, FNN-DK）used to study on TCM （Traditional Chinese Medicine） syndrome standard, On the basis of present situation and problem of study on that,The new model and its arithmetic and a new research way were put forward to explore TCM syndrome criterion analysis in way of fuzzy Inference according to Kohonen Neural net. The model was used in analysis of TCM syndrome essential factor, its rationalization and effection were test via Iris data and clinical data.