Intelligent method for BOF endpoint phosphorus estimation
转炉炼钢终点磷的智能预报

An intelligent model was introduced to estimate the bath endpoint phosphorus content for basic oxygen furnace (BOF) steelmaking. In the model, the fuzzy inference and genetic algorithms (GA) were used. The BOF endpoint P] content was estimated by fuzzy inference model, and the parameters for the fuzzy model were optimized by genetic algorithms. For improving the precision of the endpoint estimation, an artificial neural network (ANN) was designed to compensate for the fuzzy inference error. And the simulation results show the validity of this method.