采矿与安全工程学报2011，Vol.28Issue(4)：655-659,5.
基于遗传算法的概率积分法预计参数反演
Research on Parameters Inversion in Probability Integral Method by Genetic Algorithm
摘要
Abstract
Parameters inversion of probability integral method using surface movement observation data is one of the key issues in its application. The existing algorithms have some defects, such as divergence in pa-rameter calculation, difficulty in optimum acquisition, et al. In this paper, we propose to use genetic algorithm to inverse the parameters of probability integral method, and have studied the accuracy and reliability of this algorithm. The results show that parameters of probability integral method can be inversed precisely by genetic algorithm, and the relative errors of inversion parameters are less than 1. 5%. Moreover, this method has strong anti-interference ability to the influences of random errors in observed values, gross errors, losses of observation points, et al. The genetic algorithm has significant advantages in the accuracy and reliability of parameters inversion, compared to the methods of least square and pattern search.关键词
概率积分法/遗传算法/参数反演/模矢法Key words
probability integral method/ genetic algorithm/ parameters inversion/ pattern search method分类
矿业与冶金引用本文复制引用
查剑锋,冯文凯,朱晓峻..基于遗传算法的概率积分法预计参数反演[J].采矿与安全工程学报,2011,28(4):655-659,5.基金项目
国家自然科学基金重点项目(50834004) （50834004）
国土环境与灾害监测国家测绘局重点实验室开放基金项目(LEDM2009B01) （LEDM2009B01）
地质灾害防治与地质环境保护国家重点实验室开放基金项目(SKLGP2010K002) （SKLGP2010K002）
中国矿业大学青年基金项目(09091252) （09091252）
国家自然科学青年基金项目(41104011) （41104011）
