MACHINE LEARNING TECHNIQUES APPLIED TO LIGNOCELLULOSIC ETHANOL IN SIMULTANEOUS HYDROLYSIS AND FERMENTATION
Abstract This paper investigates the use of machine learning (ML) techniques to study the effect of different process conditions on ethanol production from lignocellulosic sugarcane bagasse biomass using S. cerevisiae in a simultaneous hydrolysis and fermentation (SHF) process. The effects of temper...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Brazilian Society of Chemical Engineering
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| Series: | Brazilian Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322017000100053&lng=en&tlng=en |