BP Neural Network for Train Braking Control Simulation

The braking system of train is complex,nonlinear,and time-varying with uncertainties.In this paper,the main factors associated with the BP neural network were analyzed followed by the establishment of a BP neural network model for train braking control.With freight train as study objects,simulations were conducted in the MATLAB environment.The results of the study show that the algorithms in BP neural network model are very effective in maintaining control safety while reducing errors in parking operations.