Monte Carlo inversion techniques were first used by Earth scientists more than 30 years
ago. Since that time they have been applied to a wide range of problems, from the inversion …

This paper reviews different ways potential-field modelling systems represent the 3D
structure of the Earth's crust. 3D structures may be represented by discrete objects, voxels …

将地下场源区域规则划分成很多小长方体单元, 并且通过反演确定这些单元的物性变化,
勾画出场源的分布图像, 这种方式逐步成为重磁反演, 特别是三维反演的重要方向; …

A new efficient approach to estimate parameters that controlled the source dimensions from
magnetic anomaly profile data in light of PSO algorithm (particle swarm optimization) has …

摘要本文在近年来众多的地球物理研究者的研究基础上, 总结了当前地电磁模型正反演已有成果
, 定量分析了各种主要正反演的性能测试, 指出不同正反演法的优点, 缺点以及应用范围局限 …

Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …

As a novel tool, deep learning is used to solve complex problems in the real world and has
been successfully applied to invert for seismic and electromagnetic data. In this study, we …

The particle swamp optimization procedure was applied to high-quality magnetic data
acquired from the Precambrian Obudu basement complex in Nigeria with the object of …

Abstract 3D non-linear inversion of total field magnetic anomalies caused by vertical-sided
prismatic bodies has been achieved by differential evolution (DE), which is one of the …

A global optimization technique using particle swarm optimization (PSO) is presented to
estimate the depth to the basement of a heterogeneous sedimentary basin from the vertical …