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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| 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 |
Internet
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