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Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural Networks and Regression Models Cover

Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural Networks and Regression Models

Acta Technologica Agriculturae
Volume 20 (2017): Issue 2 (June 2017)
By: Ramana Gosukonda,  Ajit K. Mahapatra,  Daniel Ekefre and  Mark Latimore  
Open Access
|Jun 2017
DOI: https://doi.org/10.1515/ata-2017-0006 | Journal eISSN: 1338-5267
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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:
ANN,
sweet sorghum bagasse,
moisture content,
thermal properties
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 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.

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