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.

中文翻译：

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基于改进烟花算法的概率积分法模型参数估计

如何根据实测数据准确估计概率积分参数一直是概率积分方法应用中的难点。本文首次将FWA引入概率积分法的求解中。在分析FWA优缺点的基础上，提出了IFWA（改进的烟花算法）。然后,融合开采沉陷规律和概率积分方法,构建了基于IFWA的概率积分参数反演模型(MIFWA)。实验表明，MIFWA在观测抗差和地质采矿概括方面具有较好的性能。