This paper presented a fuzzy neural network model for intelligently identifying the trend and jump pattern, introduced the structure of this model and method of constructing training sample and training algorithm. Then, the model was tested by a set of experimental and factory manufacturing data. The results testify that the responsive speed and actuality of this model is better than BP model and it is fitted to apply this model for key process q...