Estimation Of Parameters Of Probability Integral Method Model Based On Improved Fireworks Algorithm

How to accurately estimate the probability integral parameters based on the measured data has always been a difficult point in the application of the probability integral method. This paper introduced FWA into the solution of the probability integral method for the first time. Based on the analysis of strengths and weaknesses of FWA, IFWA (improved fireworks algorithm) was proposed. Then, the IFWA-based inversion model for probability integral parameters (MIFWA) was constructed by the fusion the mining subsidence law and probability integral method. Experiments show that MIFWA has better performance in anti-errors of the observation and the geological mining generalization.