Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression
The purpose of this study is to utilize two artificial intelligence (AI) models to predict the syngas composition of a fixed bed updraft gasifier for the gasification of rice husks. Air and steam-air mixtures are the gasifying agents. In the present work, the feeding rate of rice husks is kept const...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/10/2932 |