A hybrid modeling method of reheating furnace temperature based on neural network

After analyzing different modeling methods of reheating furnace temperature, this paper proposed a hybrid model modeling method based on neural network. The normal model is built through the traditional method and the neural network model is built for approaching the difference between the actual system and normal model. The proposed modeling method can improve the model’s approaching and generalization ability. The feasibility of this method is verified through the simulation.