Bioethanol production optimization through machine learning algorithm approach: biomass characteristics, saccharification, and fermentation conditions for enzymatic hydrolysis

In this study, the optimized decision-making system (OD-MS) algorithm in machine learning for optimizing the enzymatic hydrolysis saccharification, fermentation conditions, and its yield was studied. Two hundred fifty datasets were collected as training data from various studies and experimental res...

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Bibliographic Details

Published in:	Biomass conversion and biorefinery Vol. 13; no. 8; pp. 7287 - 7299
Main Authors:	Vinitha, Nithianantharaj, Vasudevan, Jaikumar, Gopinath, Kannappan Panchamoorthy
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Subjects:	Biotechnology Energy Original Article Renewable and Green Energy Glucose Support vector machine Ethanol yield Optimized decision-making system algorithm Machine learning algorithm
ISSN:	2190-6815, 2190-6823
Online Access:	Get full text
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