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

Oluseun Adetola Sanuade

Oluseun Adetola Sanuade

Department of Geophysics, Federal University Oye-Ekiti,Ekiti, Nigeria
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Sanuade, Oluseun Adetola
, 
Rasheed Babatunde Adesina

Rasheed Babatunde Adesina

Department of Marine Science and Technology, Federal University of Technology,Akure, Nigeria
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Adesina, Rasheed Babatunde
, 
Joel Olayide Amosun

Joel Olayide Amosun

Department of Geophysics, Federal University Oye-Ekiti,Ekiti State, Nigeria
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Amosun, Joel Olayide
, 
Akindeji Opeyemi Fajana

Akindeji Opeyemi Fajana

Department of Geophysics, Federal University Oye-Ekiti,Ekiti State, Nigeria
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Fajana, Akindeji Opeyemi
 and 
Olayiwola Grace Olaseeni

Olayiwola Grace Olaseeni

Department of Geophysics, Federal University Oye-Ekiti,Ekiti State, Nigeria
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Olaseeni, Olayiwola Grace
  
Dec 29, 2017
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Published Online: Dec 29, 2017
Page range: 169 - 180
Received: Apr 20, 2017
Accepted: May 25, 2017
DOI: https://doi.org/10.1515/rmzmag-2017-0012
Keywords
© 2018
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Databases and Data Mining, Geosciences, Geodesy, Geology and Mineralogy, Materials Sciences, Materials Characterization and Properties
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