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 TypeDr GradeEmail
مها عبدالعظيم محمد Maha Abdelazeem MohamedResearcher  
محمد مصطفى غباشيMohamed M. GobashyResearcher  

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