A Mixed Model Modeling Method Based on Neural Network and Its Application

Relying on its non-linear handling ability, the neural network is widely applied to the actual system black box modeling, but theoretically its practical application ability is limited. Regarding the complex dynamic characteristics of actual system, its generalization and approaching ability is insufficient. This paper proposed a mixed model modeling method based on the neural network, composed of the normal model through the traditional method and the neural network model for approaching the difference between the actual system and normal model to improve the model’s approaching and generalization ability. The feasibility is verified through emulation.