Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques

The purpose of this study is to investigate the application of artificial neural network (ANN) in solving two dimensional Direct Current (DC) resistivity mapping for subsurface investigation. Neural network algorithms were proposed based on radial basis function (RBF) model and multi-layer perceptro...

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Main Author:	Othman, Mohd. Hakimi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48835/25/MohdHakimiOthmanMFKE2014.pdf
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id	my-utm-ep.48835
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spelling	my-utm-ep.488352020-06-30T02:20:07Z Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques 2015-01 Othman, Mohd. Hakimi TK Electrical engineering. Electronics Nuclear engineering The purpose of this study is to investigate the application of artificial neural network (ANN) in solving two dimensional Direct Current (DC) resistivity mapping for subsurface investigation. Neural network algorithms were proposed based on radial basis function (RBF) model and multi-layer perceptron (MLP) model. Conventional approach of least square (LS) method was used as the benchmark and comparison for the proposed algorithm. In order to train the proposed algorithm, several synthetic data were generated using RES2DMOD software based on hybrid Wenner-Schlumberger configurations. Results were compared between the proposed algorithm and least square method in term of its effectiveness and error variations to actual values. It was discovered that the proposed algorithms have better performance in term of effectiveness and have minimum error difference to actual model as compared to least square method. Simulations result demonstrated that proposed algorithm can solve the inverse problem and can be illustrated by graphical means. 2015-01 Thesis http://eprints.utm.my/id/eprint/48835/ http://eprints.utm.my/id/eprint/48835/25/MohdHakimiOthmanMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:87864 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Othman, Mohd. Hakimi Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
description	The purpose of this study is to investigate the application of artificial neural network (ANN) in solving two dimensional Direct Current (DC) resistivity mapping for subsurface investigation. Neural network algorithms were proposed based on radial basis function (RBF) model and multi-layer perceptron (MLP) model. Conventional approach of least square (LS) method was used as the benchmark and comparison for the proposed algorithm. In order to train the proposed algorithm, several synthetic data were generated using RES2DMOD software based on hybrid Wenner-Schlumberger configurations. Results were compared between the proposed algorithm and least square method in term of its effectiveness and error variations to actual values. It was discovered that the proposed algorithms have better performance in term of effectiveness and have minimum error difference to actual model as compared to least square method. Simulations result demonstrated that proposed algorithm can solve the inverse problem and can be illustrated by graphical means.
format	Thesis
qualification_level	Master's degree
author	Othman, Mohd. Hakimi
author_facet	Othman, Mohd. Hakimi
author_sort	Othman, Mohd. Hakimi
title	Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
title_short	Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
title_full	Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
title_fullStr	Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
title_full_unstemmed	Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
title_sort	two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48835/25/MohdHakimiOthmanMFKE2014.pdf
_version_	1747817483296833536

Two dimensional direct current resistivity mapping for subsurface investigation using computational intlligence techniques

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