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

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

Artificial neural networks (ANN) and traditional regression models were developed for prediction of thermal properties of sweet sorghum bagasse as a function of moisture content and room temperature. Predictions were made for three thermal properties: 1) thermal conductivity, 2) volumetric specific...

Full description

Bibliographic Details
Main Authors: Gosukonda Ramana, Mahapatra Ajit K., Ekefre Daniel, Latimore Mark
Format: Article
Language:English
Published: Sciendo 2017-06-01
Series:Acta Technologica Agriculturae
Subjects:
ann
sweet sorghum bagasse
moisture content
thermal properties
Online Access:https://doi.org/10.1515/ata-2017-0006

Similar Items

Similar Items