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

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

Artificial neural network (ANN) was used to predict the dry density of soil from its thermal conductivity. The study area is a farmland located in Abeokuta, Ogun State, Southwestern Nigeria. Thirty points were sampled in a grid pattern, and the thermal conductivities were measured using KD-2 Pro the...

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Bibliographic Details
Main Authors: Sanuade Oluseun Adetola, Adesina Rasheed Babatunde, Amosun Joel Olayide, Fajana Akindeji Opeyemi, Olaseeni Olayiwola Grace
Format: Article
Language:English
Published: Sciendo 2017-09-01
Series:Materials and Geoenvironment
Subjects:
thermal conductivity
ann
matlab
prediction
model
Online Access:https://doi.org/10.1515/rmzmag-2017-0012

Internet

https://doi.org/10.1515/rmzmag-2017-0012

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