Predicting the effective thermal conductivity of geo-materials using artificial neural networks

Predicting the effective thermal conductivity of geo-materials using artificial neural networks

Soil thermal conductivity is an important thermal property used in heat transfer modelling and geo-energy applications. Because of its complex nature and depending on several factors such as porosity, moister content, structure, etc., it is always challenging to predict the thermal conductivity of g...

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Bibliographic Details
Main Authors:	Shrestha Dinesh, Wuttke Frank
Format:	Article
Language:	English
Published:	EDP Sciences 2020-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/65/e3sconf_icegt2020_04001.pdf

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