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Acta Technologica Agriculturae
Volume 20 (2017): Issue 2 (June 2017)
Open Access
Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural Networks and Regression Models
Ramana Gosukonda
Ramana Gosukonda
,
Ajit K. Mahapatra
Ajit K. Mahapatra
,
Daniel Ekefre
Daniel Ekefre
and
Mark Latimore
Mark Latimore
| Jun 23, 2017
Acta Technologica Agriculturae
Volume 20 (2017): Issue 2 (June 2017)
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Published Online:
Jun 23, 2017
Page range:
29 - 35
DOI:
https://doi.org/10.1515/ata-2017-0006
Keywords
ANN
,
sweet sorghum bagasse
,
moisture content
,
thermal properties
© Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Ramana Gosukonda
College of Agriculture, Family Sciences and Technology, Fort Valley State University,
Fort Valley, USA
Ajit K. Mahapatra
College of Agriculture, Family Sciences and Technology, Fort Valley State University,
Fort Valley, USA
Daniel Ekefre
College of Agriculture, Family Sciences and Technology, Fort Valley State University,
Fort Valley, USA
Mark Latimore
College of Agriculture, Family Sciences and Technology, Fort Valley State University,
Fort Valley, USA