A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.The model was designed according to the reasoning process of the rough set theory

including building up

dispersing and reducing the decision table of training samples.In the rough fuzzy neural network classifier

the number of the neurons of the input layer

two hiding layers and the output layer were determined by the reduction results

the dispersal results

classification rules and the decision attribute of the decision table

respectively.The application of the classifier to the car's plate characters recognition shows that it can increase the recognition rate of 18% compared with the method based on rough set rule matching

and 2.7% compared with the method based on BP neural network.