物探与化探2016，Vol.40Issue(5)：974-979,6.DOI:10.11720/wtyht.2016.5.21
邻近算法在一维大地电磁反演中的应用
Neighbourhood algorithm and its application to 1D magnetotelluric data inversion
摘要
Abstract
Magnetotelluric method ( MT) is applied so widely that improving the method of inversion and the interpretation of MT data become very important. This paper summarizes different inversion algorithms and points out their limitations. Then an overview is given on neighborhood algorithm ( NA) and its application to the MT inversion. The maximum likelihood model from NA is very close to the theoretical model. Although NA and genetic algorithm ( GA) have the same capability for resisting the local minimum value, NA algo⁃rithm shows better similarity between the density distribution of sampling points and the error function, so NA is more conducive to in⁃version application based on the integral parameter appraisal method. In this study, the authors found that NA converges much faster than GA, whereas NA algorithm is more advantageous than GA algorithm in 1D MT inversion.关键词
大地电磁/邻近算法/遗传算法/反演/收敛速度Key words
magnetotelluric/neighborhood algorithm/genetic algorithm/inversion/convergence velocity分类
天文与地球科学引用本文复制引用
黄卫航,金维浚,张文辉..邻近算法在一维大地电磁反演中的应用[J].物探与化探,2016,40(5):974-979,6.基金项目
国家自然科学基金面上项目（41372324）；中国地质调查局项目“白龙江流域主要活动断裂调查与地质灾害效应研究” （）
