Inversion method for the prediction parameters of mining subsidence based on the PB combination prediction model of variable weight

In order to further improve the accuracy of the solved parameters,the inversion method for the prediction parameters of mining subsidence based on PB combination prediction model of variable weight was carried out.This paper first systematically elaborated the principle of the probability integral model and the Boltzmann function prediction model,and then the PB combination prediction model of variable weight was established based on the combination theory of variable weight.Taking into account the model belonging to a highly nonlinear model,the fireworks algorithm was introduced,and an inversion method for the prediction parameters of mining subsidence based on the PB combination prediction model of variable weight was proposed.The results of the simulation experiment show that the average relative error of all inversion parameters is about 4.0%,with 3.9 of the RMSE,and the effect of fitting subsidence and horizontal movement is better.The constructed method can accurately and reliably solve the prediction parameters of mining subsidence.The constructed method,the solved parameters method based on the probability integral model and the solved parameters method based on the Boltzmann function model have been applied to the inversion of the prediction parameters of mining subsidence in the working face of Huainan Guqiao Mine.The fitting degree of the constructed method is significantly better than that of the last two methods.The RMSE of the three methods in fitting subsidence and horizontal movement is about 82,107,and 100 mm,respectively.The result of the solved parameters by the constructed method is as follow:q=0.99,tan β=1.90,b=0.42,θ=87.03°,S₁=6.29 m,S₂= -29.52 m,S₃=49.78 m,S₄=32.56 m。