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Document Details
Document Type
:
Article In Journal
Document Title
:
Self-Potential Inversion Using Genetic Algorithm
حل المشكلة العكسية للجهد الذاتي بإستخدام الخوارزم الجيني
Subject
:
Earth Sciences
Document Language
:
English
Abstract
:
A new technique is presented for automatic inversion of SP anomalies due to a polarized infinitely conductive simple geometrical source model structures, based on an artificial intelligence search strategy entitled genetic algorithm (GA) and the evolution theory. The genetic algorithm is used to find the minimum of fitness or cost function of the unknown depth, polarization angle, and shape factor. The study of synthetic examples shows fast and stable recovery of the true parameters even if the input data contain different percentages of noise. The GA leads to very realistic values for the inverted parameters in all tested examples and the root-mean squared error (rms) between the true and inverted field is accepted. The technique is further applied to real examples from Germany and Turkey.
ISSN
:
1012-8832
Journal Name
:
Earth Sciences Journal
Volume
:
17
Issue Number
:
1
Publishing Year
:
1427 AH
2006 AD
Number Of Pages
:
18
Article Type
:
Article
Added Date
:
Sunday, October 11, 2009
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
مها عبدالعظيم محمد
Maha Abdelazeem Mohamed
Researcher
محمد مصطفى غباشي
Mohamed M. Gobashy
Researcher
Files
File Name
Type
Description
21524.pdf
pdf
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