Abstract: In order to better ensure the safe exploitation of coalbed methane in the WX block, it is necessary to accurately calculate the strength parameters(tensile strength, compressive strength, and shear strength) of the coal seam roof and floor.Based on relevant literature research and test analysis data, we select the GA-BP neural network model to calculate the strength parameters of the coal seam roof and floor in the study area.Firstly, the genetic algorithm(GA) is used to optimize and adjust the weights and thresholds of the BP neural network, and then it is applied to the BP neural network to finally output the calculation results of the strength parameters of the coal seam roof and floor.The calculation results of the strength parameters by the GA-BP neural network model are compared with those by the BP neural network and the support vector machine.The experimental results show that the GA-BP neural network model has high accuracy and practicability in calculating the strength parameters of the coal seam roof and floor.