Hyperparameter optimization strategy of multilayer perceptron model for injection molding quality prediction

The challenge of maintaining consistent quality in injection molding is critical, yet conducting a comprehensive inspection is both costly and time consuming. Leveraging artificial intelligence, this study proposed using machine learning—specifically multilayer perception (MLP) models—to predict the...

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Vydané v:	International journal of advanced manufacturing technology Ročník 131; číslo 3-4; s. 1879 - 1895
Hlavní autori:	Huang, Ming-Shyan, Chang, Chia Hao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.03.2024 Springer Nature B.V
Predmet:	Accuracy Artificial intelligence CAE) and Design Complex systems Computer-Aided Engineering (CAD Computing time Engineering Factorial experiments Industrial and Production Engineering Injection molding Integrated circuits Machine learning Mechanical Engineering Media Management Model accuracy Model testing Multilayer perceptrons Optical components Optimization Original Article Orthogonal arrays Quality control Taguchi methods Injection molding Multilayer perceptron Design-of-experiment method Optical component weight prediction IC tray width prediction Hyperparameter tuning
ISSN:	0268-3768, 1433-3015
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