Fatigue life prediction and application of hydraulic support roof beam based on LM-BP neural network

The method for predicting the fatigue life of hydraulic support roof beam is presented based on LM-BP neural network in this paper.The main stiffener thickness, the thickness of the transverse plate above the center of the column socket, the thickness of the transverse plates on both sides, the radius of the guide sleeve hole and the thickness of the roof are selected as input parameters, the fatigue life of the sample hydraulic support roof beam is taken as output, LM algorithm is used to improve BP neural network in training, and a BP neural network model based on LM is obtained.The model is used to predict the fatigue life of hydraulic support roof beam.The results show that the fitting accuracy of the BP neural network model based on LM is high, and it has wide application prospects.