An fusion model based on fuzzy neural network about the Traditional Chinese Medicine intelligent diagnosis and inference

This paper studies an intelligent inference model embedded parallel competitive neural network, and implements the simulation of traditional Chinese medicine (TCM) experts in diagnosis and inference process, by integrating fuzzy neural networks (FNN) technology, image processing and recognition technology, data mining technology and extension thought. The results of complex TCM diagnosis and inference process show that the intelligent inference model studied in this paper can preferably be applied to TCM differentiation of symptoms and signs.