TITLE:
Thermal Properties Of Sediments From Middle Valley
AUTHORS:
A. Hafaiedh, K. Hassine
KEYWORDS:
neural network, thermal conductivity, porosity, grain density, bulk density, water content.
JOURNAL NAME:
Journal of Minerals and Materials Characterization and Engineering,
Vol.4 No.1,
June
12,
2005
ABSTRACT: A neural network model was used to treat thermal conductivity data obtained from Middle Valley. This technique was able to separate the effects of different parameters such as porosity, grain density, bulk density and water content on the thermal conductivity. Predicted curves showed good agreement with the experimental results.