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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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Bibliographic Details
Main Authors:	Tan, Chuan Heng, Mohd. Yusof, Khairiyah, Wan Alwi, Sharifah Rafidah
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2022
Subjects:	QD Chemistry
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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