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

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:English
English
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/
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

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