Artificial intelligence in single screw polymer extrusion: Learning from computational data-Reference-Cited by-同舟云学术

Artificial intelligence in single screw polymer extrusion: Learning from computational data

Published:2022-11 Issue: Volume:116 Page:105397
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gaspar-Cunha António^ORCID,Monaco Francisco^ORCID,Sikora Janusz^ORCID,Delbem Alexandre

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference60 articles.

1. Polymer Processing: Principles and Modeling;Agassant,2017

2. Interactive particle swarm: a pareto-adaptive metaheuristic to multiobjective optimization;Agrawal;IEEE Trans. Syst. Man. Cybern. Part A Syst. Hum.,2008

3. Clustering aided approach for decision making in computationally expensive multiobjective optimization;Aittokoski;Optim. Methods Softw.,2009

4. Anon,, 2022. http://newex.pollub.pl, NEWEX – Investigation and development of a new generation of machines for the processing of composite and nanocomposite materials, 07.01.2022.

5. Code2vect: An efficient heterogenous data classifier and nonlinear regression technique;Argerich;C. R. Mecanique,2019

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