Virtual Analyzers for MI and Density Based on Neural Networks Improved through an Integrated Strategy Involving a Constructive Algorithm and Definition of Initial Weights

This work presents the development and validation of two virtual analyzers (density and Melt Index (MI)) for quality monitoring and control of the final product in an industrial unit of Linear Polyethylene (LPE). Both models are based on Feedforward Neural Networks which are improved through a strat...

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Veröffentlicht in:	Macromolecular reaction engineering Jg. 17; H. 4
Hauptverfasser:	da Silva, Adilton Lopes, Fontes, Cristiano Hora, Embiruçu, Marcelo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Weinheim Wiley Subscription Services, Inc 01.08.2023
Schlagworte:	Algorithms Analyzers Artificial neural networks constructive algorithm Density feedforward neural network linear polyethylene Neural networks Optimization quality parameters Regression models virtual analyser
ISSN:	1862-832X, 1862-8338
Online-Zugang:	Volltext
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