Application of an expert system to predict thermal conductivity of rocks

Abstract

In this paper, an attempt has been made to predict the thermal conductivity (TC) of rocks by incorporating uniaxial compressive strength, density, porosity, and P-wave velocity using support vector machine (SVM). Training of the SVM network was carried out using 102 experimental data sets of various rocks, whereas 25 new data sets were used for the testing… (More)
DOI: 10.1007/s00521-011-0573-y

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