A modified neural networks control algorithm and the corresponding simulation experiments research

There is a problem in neural networks control system. The error that is adopted by learning methods in neural networks in theory does not equal the system's error in reality, so the behavior of the neural networks will be affected. A new control structure that can settle the question to some extent is put forward in this paper, and the corresponding learning methods are discussed. Through the simulation experiments research, the reasonableness and effectiveness of the method is proved.