Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment

The study objective was to model and predict the bioethanol production process from lignocellulosic biomass based on an example of empirical study results. Two types of algorithms were used in machine learning: artificial neural network (ANN) and random forest algorithm (RF). Data for the model incl...

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Bibliographic Details
Main Authors: Małgorzata Smuga-Kogut, Tomasz Kogut, Roksana Markiewicz, Adam Słowik
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/1/243