TCM syndrome essential factor quantization analysis model based on Fuzzy-Neural Networks

On the basis of present situation of study on TCM (Traditional Chinese Medicine) syndrome essential factor standard, a new model (Fuzzy-Neural Networks based on Dynamic Kohonen, FNN-DK) and its algorithms were put forward to explore TCM syndrome essential factor quantization analysis in way of fuzzy Inference according to Kohonen Neural Network. The model was used in analysis of TCM syndrome essential factor, its rationalization and effection were test via Iris data and clinical data.