Application of GA-BP neural network in boost pressure forecast of anti-jamming valve used in rock drilling

Abstract

Structure and working principle of anti-jamming valve on a drilling rig was analyzed, and BP neural network model of anti-jamming valve was established using original data of a quarry. The theory of genetic algorithm was utilized to optimize and analyze BP neural model, and the GA-BP model was established. The analysis results show that both BP neural network and GA-BP network model can be used to predict boost pressure of anti-jamming valve, and the GA-BP network model has higher prediction accuracy, nonlinear mapping and network performance.

Keywords

• rock drilling
• anti-jamming valve
• boost pressure
• bp neural network
• genetic algorithm