- Titel:
Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Dobmeier, Fabian ; Li, Rui ; Ettemeyer, Florian ; Mariadass, Melvin ; Lechner, Philipp ; Volk, Wolfram ; Günther, Daniel
- Stichworte:
- Article ; casting technology ; inorganically bound sand cores ; decoring behavior ; artificial neural networks ; XGBoost ; SHAP
- Zeitschriftentitel:
- Applied Sciences
- Jahr:
- 2023
- Band / Volume:
- 13
- Heft / Issue:
- 13
- Volltext / DOI:
- doi:10.3390/app13137948
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2076-3417
- Publikationsdatum:
- 06.07.2023
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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