Using artificial neural network to predict dry density of soil from thermal conductivity
By:
Authors
Oluseun Adetola Sanuade
Department of Geophysics, Federal University Oye-Ekiti,, Ekiti, Nigeria
Rasheed Babatunde Adesina
Department of Marine Science and Technology, Federal University of Technology,, Akure, Nigeria
Joel Olayide Amosun
Department of Geophysics, Federal University Oye-Ekiti,, Ekiti State, Nigeria
Akindeji Opeyemi Fajana
Department of Geophysics, Federal University Oye-Ekiti,, Ekiti State, Nigeria
Olayiwola Grace Olaseeni
Department of Geophysics, Federal University Oye-Ekiti,, Ekiti State, Nigeria
DOI: https://doi.org/10.1515/rmzmag-2017-0012 | Journal eISSN: 1854-7400
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
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© 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.