摘要
为得到更准确的概率积分参数,提出基于差分进化的花朵授粉算法。经工程实例分析,利用传统花朵授粉反演得到的沉降值与水平移动值的拟合标准差为72.96 mm,而改进后的拟合标准差为67.07 mm,精度更高。
In order to obtain more accurate probability integral parameters,a flower pollination algorithm based on differential evolution is proposed.Through the analysis of an engineering example,the fitting standard deviation of settlement value and horizontal movement value obtained by traditional flower pollination inversion is 72.96 mm,while the improved fitting standard deviation is 67.07 mm,which has higher accuracy.
作者
刘双
刘宇
Liu Shuang;Liu Yu(School of Spatial Information and Surveying and Mapping Engineering,Anhui University of Science and Technology,Anhui Huainan 232001;Sky-ground Collaborative Monitoring and Early Warning of Mining Disasters in Anhui University of Science and Technology Key Laboratory of Anhui Ordinary Universities,Anhui Huainan 232001;Coal Industry Engineering Research Center for Collaborative Monitoring of Environment and Disaster in Mining Area of Anhui University of Science and Technology,Anhui Huainan 232001)
出处
《山东煤炭科技》
2022年第10期194-197,共4页
Shandong Coal Science and Technology
基金
国家自然基金项目(No.41474026):基于GPS/BDS组合的开采沉陷高精度快速监测关键技术研究。
关键词
开采沉陷
概率积分法
参数反演
花朵授粉算法
mining subsidence
probability integration method
parameter inversion
flower pollination algorithm
