Regression models for the prediction of high impact polystyrene properties using operational variables

Regression models for the prediction of high impact polystyrene properties using operational variables

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Bibliographic Details
Main Authors:	Diana Soto, Jorge Alaña, Haydee Oliva
Format:	Article
Language:	English
Published:	Universidad del Zulia 2010-11-01
Series:	Revista Técnica de la Facultad de Ingeniería
Subjects:	high impact polystyrene artificial neural networks multiple analysis regression
Online Access:	https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5961

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