Gravity Data Inversion Based Genetic Algorithm and Generalized Least Squares

被引：2

作者：

Qiu, Ning ^{[1
]}

Liu, Qingsheng ^{[1
]}

Gao, Quanye ^{[2
]}

机构：

[1] China Univ Geosci, Inst Geophys & Geomat, Wuhan, Peoples R China

[2] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年

关键词：

geophysical optimized inversion; gravity; genetic algorithm; generalized least squares; POTENTIAL-FIELD DATA;

D O I：

10.1109/ICICISYS.2009.5358049

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Geophysical optimized inversion of gravity data using genetic algorithm (GA) still faces some problems It often divert to the local solution, causing premature convergence Here, we present an optimized inversion method based genetic algorithm and generalized least squares (GLS) to estimation the model parameters of geological bodies The synthesized gravity data is given for testing the performance of the proposed method It outperforms single GA in accuracy and GLS in convergence speed

引用

页码：891 / +

页数：2

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