Optimization of injection molding process parameters by a hybrid of artificial neural network and artificial bee colony algorithm

This paper presents a hybrid of artificial neural networks and artificial bee colony algorithm to optimize the process parameters in injection molding with the aim of minimize warpage of plastic products. A feedforward neural network is employed to obtain a mathematical relationship between the pro...

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Библиографические подробности

Главные авторы:	Alejandro Alvarado Iniesta, Jorge L. García Alcaraz, Manuel Iván Rodríguez Borbón
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Universidad de Antioquia 2013-08-01
Серии:	Revista Facultad de Ingeniería Universidad de Antioquia
Предметы:	artificial bee colony algorithm artificial neural networks injection molding optimization of process parameters finite element simulation
Online-ссылка:	https://revistas.udea.edu.co/index.php/ingenieria/article/view/16309
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