Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil

Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil

This paper deals with modeling hydrogen contents of bio-oil (H-BO) as a function of pyrolysis conditions and biomass compositions of feedstock. The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. Comprehensive data for this purpose...

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Bibliographic Details
Main Authors: Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Chemical Engineering
Online Access:http://dx.doi.org/10.1155/2021/7548251
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