Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural Networks and Regression Models
Authors
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
DOI: https://doi.org/10.1515/ata-2017-0006 | Journal eISSN: 1338-5267
Language: English
Page range: 29 - 35
Published on: Jun 23, 2017
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
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© 2017 Ramana Gosukonda, Ajit K. Mahapatra, Daniel Ekefre, Mark Latimore, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.