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Using artificial neural network to predict dry density of soil from thermal conductivity

Materials and Geoenvironment
Volume 64 (2017): Issue 3 (September 2017)
By:
Open Access
|Dec 2017

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DOI: https://doi.org/10.1515/rmzmag-2017-0012 | Journal eISSN: 1854-7400
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Language: English
Page range: 169 - 180
Submitted on: Apr 20, 2017
Accepted on: May 25, 2017
Published on: Dec 29, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
thermal conductivity,
ANN,
MATLAB,
prediction,
model
Related subjects:
Computer sciences,
Databases and data mining,
Geosciences,
Geodesy,
Geology and mineralogy,
Materials sciences,
Materials characterization and properties

© 2017 Oluseun Adetola Sanuade, Rasheed Babatunde Adesina, Joel Olayide Amosun, Akindeji Opeyemi Fajana, Olayiwola Grace Olaseeni, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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