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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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書誌詳細
主要な著者:	Hassani, Mohsen, Marto, Aminaton, Khezri, Nima, Kalatehjari, Roohollah
フォーマット:	論文
出版事項:	Elsevier 2015
主題:	TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/55829/ http://dx.doi.org/10.1016/j.measurement.2015.02.009
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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