A fuzzy neural network based on rough sets is presented in this paper. First, a set of rough rules are found from the given training data by using rough sets theory, then the structure and model are designed according these rules, and then the model is trained by neural network technique. The experiments that simulate the control process of side-wind for chemical fiber are carried out. The results proved its efficiency and feasibility.