Development of a hybrid PSO-ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass

In this paper, two artificial intelligent systems, the artificial neural network (ANN) and particle swarm optimization (PSO), were combined to form a hybrid PSO–ANN model that was used to improve estimates of glucose and xylose yields from the microwave–acid pretreatment and enzymatic hydrolysis of...

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Bibliographic Details

Main Authors:	Mohammad, Saleem Ethaib, Omar, Rozita, Mustapa Kamal, Siti Mazlina, Awang Biak, Dayang Radiah, S., Syafiie
Format:	Article
Language:	en
Published:	Springer 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/72245/1/Development.pdf http://psasir.upm.edu.my/id/eprint/72245/ https://link.springer.com/article/10.1007/s00521-016-2755-0
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