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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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| Publicat a: | Polymers (Basel) |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6415129/ https://ncbi.nlm.nih.gov/pubmed/30966179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/polym10020143 |
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