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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Vydané v:	Macromolecular reaction engineering Ročník 17; číslo 4
Hlavní autori:	da Silva, Adilton Lopes, Fontes, Cristiano Hora, Embiruçu, Marcelo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Weinheim Wiley Subscription Services, Inc 01.08.2023
Predmet:	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
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