Quality prediction with neural network techniques for polypropylene production via the spheripol process
In the polypropylene (PP) industry, melt index (MI) is the most important quality variable. Different grades of PP have their specific range of MI. Accurate prediction of MI is essential for efficient monitoring and off-grade reduction. Artificial Neural Network (ANN) models are proposed as the tech...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98974/1/KhairiyahMohdYusof2022_QualityPredictionwithNeuralNetwork.pdf http://eprints.utm.my/id/eprint/98974/ http://dx.doi.org/10.11113/jurnalteknologi.v84.18567 |
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