计算机技术与发展2012，Vol.22Issue(3)：92-95,4.
加权最小二乘法改进遗传克里金插值方法研究
Research on Genetic Algorithm Kriging Optimized by Weight Least Square
摘要
Abstract
Data interpolation is widely used in the field of geostatistical analysis. As one of the most effective methods of data interpolation, using Kriging could obtain reliable weight values to build up the linear combination by means of the establishment of semi-vario-gram model. In order to improve the accuracy of interpolation, weight least square is used in this paper to optimize the fitness function in genetic algorithm,then improve Kriging optimized by genetic algorithm only. Model parameters can be calculated by toolbox in MAT-LAB. Finally,verified by example data and compared with ordinary Kriging and genetic algorithm Kriging,this method is found to a-chieve a more interpolation result and get less error. Weight least square is proved to be an effective method to improve ordinary genetic algorithm Kriging.关键词
克里金/遗传算法/变异函数/加权最小二乘法Key words
Kriging/genetic algorithm/semi-variogram/weight least square分类
信息技术与安全科学引用本文复制引用
严华雯,吴健平..加权最小二乘法改进遗传克里金插值方法研究[J].计算机技术与发展,2012,22(3):92-95,4.基金项目
国家重点基础研究发展计划(973计划)项目(2010CB951603) （973计划）
