Double Ensemble Technique for Improving the Weight Defect Prediction of Injection Molding in Smart Factories

The growing move toward smart factories can leverage industrial big data to enhance productivity. In particular, research is being conducted on injection molding and utilizing machine learning techniques to analyze molding process data, discover optimal molding conditions, and predict and improve pr...

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Bibliografische Detailangaben

Hauptverfasser:	Kwangmo Koo, Keunho Choi, Donghee Yoo
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2023-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Double ensemble ensemble machine learning smart factory injection molding quality prediction
Online-Zugang:	https://ieeexplore.ieee.org/document/10283848/
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