Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks

In the vacuum thermoforming process, the group effects of the processing parameters, when related to the minimizing of the product deviations set, have conflicting and non-linear values which make their mathematical modelling complex and multi-objective. Therefore, this work developed models of pred...

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Detalles Bibliográficos
Autores principales: Leite, Wanderson de Oliveira, Campos Rubio, Juan Carlos, Mata Cabrera, Francisco, Carrasco, Angeles, Hanafi, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415129/
https://www.ncbi.nlm.nih.gov/pubmed/30966179
http://dx.doi.org/10.3390/polym10020143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415129/
https://www.ncbi.nlm.nih.gov/pubmed/30966179
http://dx.doi.org/10.3390/polym10020143

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