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Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis

Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis. In this rega...

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Main Authors: Hassani, Mohsen, Marto, Aminaton, Khezri, Nima, Kalatehjari, Roohollah
Format: Article
Published: Elsevier 2015
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/55829/
http://dx.doi.org/10.1016/j.measurement.2015.02.009
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spelling my.utm.558292017-02-15T01:06:38Z http://eprints.utm.my/id/eprint/55829/ Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis Hassani, Mohsen Marto, Aminaton Khezri, Nima Kalatehjari, Roohollah TA Engineering (General). Civil engineering (General) Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis. In this regard, 44 datasets including the most effective parameters on thermal conductivity of rocks were collected from the literature. The physico-mechanical properties of rocks including uniaxial compressive strength, P-wave velocity, bulk density and porosity were used to develop the predictive models. The correlation of determination equal to 0.99 and 0.95 were obtained by ANFIS and MVR models respectively. The obtained results suggest that the ANFIS model outperforms the MVR model and is an applicable tool to predict thermal conductivity of rocks with high degree of accuracy Elsevier 2015-05 Article PeerReviewed Hassani, Mohsen and Marto, Aminaton and Khezri, Nima and Kalatehjari, Roohollah (2015) Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis. Measurement: Journal of the International Measurement Confederation, 67 . pp. 71-77. ISSN 0263-2241 http://dx.doi.org/10.1016/j.measurement.2015.02.009 DOI:10.1016/j.measurement.2015.02.009
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Hassani, Mohsen
Marto, Aminaton
Khezri, Nima
Kalatehjari, Roohollah
Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
description Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis. In this regard, 44 datasets including the most effective parameters on thermal conductivity of rocks were collected from the literature. The physico-mechanical properties of rocks including uniaxial compressive strength, P-wave velocity, bulk density and porosity were used to develop the predictive models. The correlation of determination equal to 0.99 and 0.95 were obtained by ANFIS and MVR models respectively. The obtained results suggest that the ANFIS model outperforms the MVR model and is an applicable tool to predict thermal conductivity of rocks with high degree of accuracy
format Article
author Hassani, Mohsen
Marto, Aminaton
Khezri, Nima
Kalatehjari, Roohollah
author_facet Hassani, Mohsen
Marto, Aminaton
Khezri, Nima
Kalatehjari, Roohollah
author_sort Hassani, Mohsen
title Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
title_short Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
title_full Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
title_fullStr Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
title_full_unstemmed Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
title_sort indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
publisher Elsevier
publishDate 2015
url http://eprints.utm.my/id/eprint/55829/
http://dx.doi.org/10.1016/j.measurement.2015.02.009
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score 13.211869

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