Virtual Analyzers for MI and Density Based on Neural Networks Improved through an Integrated Strategy Involving a Constructive Algorithm and Definition of Initial Weights-Reference-Cited by-同舟云学术

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

Published:2023-01-02 Issue: Volume: Page:2200066
ISSN:1862-832X
Container-title:Macromolecular Reaction Engineering
language:en
Short-container-title:Macro Reaction Engineering

Author:

da Silva Adilton Lopes¹²,Fontes Cristiano Hora²^ORCID,Embiruçu Marcelo²^ORCID

Affiliation:

1. Linear Polyethylene Unit – Braskem Company Camaçari‐BA 42816‐200 Brazil

2. Programa de Engenharia Industrial (Industrial Engineering Program), Escola Politécnica (Polytechnic Institute) Universidade Federal da Bahia (Federal University of Bahia) Bahia 40210‐630 Brazil

Publisher

Wiley

Subject

Polymers and Plastics,General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mren.202200066

Reference31 articles.

1. A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process

2. A model-based approach to quality monitoring of a polymerization process without online measurement of product specifications

3. Predicting kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites using neural network and chimp optimization

4. Modeling and advanced control method of PVC polymerization process

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