Improved model of halophilic cellulase fermentation from lignocellulosic biomass using artificial neural network (ANN)

An artificial neural network (ANN) was employed to model the fermentation process for halophilic cellulase production from lignocellulosic biomass. Three critical parameters within the ANN architecture; weight decay, number of iterations, and the number of hidden neurons were optimized to achieve th...

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Bibliographic Details

Main Authors:	Ewie Asfahanie Abdul Halim, Syahrul Affandi Saidi, Ahmad Anas Nagoor Gunny, Nik Muhammad Azhar Nik Daud, Amirul Ridzuan Abu Bakar, Mohd Asraf Mohd Zainudin, Lichun Dai, Ahmad Hazim Abdul Aziz, Mohd Sharizan Md Sarip
Format:	Article
Language:	en
Published:	Taylor’s University 2025
Subjects:	QA76.75-76.765 Computer software TP248.13-248.65 Biotechnology
Online Access:	https://eprints.ums.edu.my/id/eprint/45727/1/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/45727/
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