Predicting carboxymethyl cellulase assay (CMCase) production using artificial neural network and explicit feature selection approach

This paper presents a method for predicting carboxymethyl cellulase (CMCase) production using artificial neural networks (ANNs) and an explicit feature selection approach. A dataset of CMCase production experiments was collected, and an explicit feature selection approach was applied to select the m...

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Bibliographic Details

Main Authors:	Ullah Miah, Md Saef, Junaida, Sulaiman, Kamal Zuhairi, Zamli, Samiur Rashid, Shah, Khan Chowdhury, Ahmed Jalal
Format:	Conference or Workshop Item
Language:	en en
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/38772/1/Predicting%20carboxymethyl%20cellulase%20assay%20%28CMCase%29%20production%20using%20artificial.pdf http://umpir.ump.edu.my/id/eprint/38772/2/Predicting%20carboxymethyl%20cellulase%20assay%20%28CMCase%29%20production%20using%20artificial%20neural%20network%20and%20explicit%20feature%20selection%20approach_ABS.pdf http://umpir.ump.edu.my/id/eprint/38772/ https://doi.org/10.1109/I2CT57861.2023.10126364
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