Random Forest ensemble prediction of stent dimensions in microfabrication processes

The recent development of new laser machine tools for the manufacture of micro-scale metallic components has boosted demand in the field of medical applications. However, the optimization of this process encounters a major problem: a knowledge gap concerning the relation between the controllable par...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 91; H. 1-4; S. 879 - 893
Hauptverfasser:	Maudes, Jesus, Bustillo, Andrés, Guerra, Antonio J, Ciurana, Joaquim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2017 Springer Nature B.V
Schlagworte:	CAE) and Design Computer-Aided Engineering (CAD Cutting parameters Cutting speed Engineering Industrial and Production Engineering Lasers Machine learning Machine tools Mathematical models Mechanical Engineering Media Management Optimization Original Article Pulse duration Regression analysis Screening Stents Support vector machines Surgical implants Laser machining Ensembles of regressors Data mining Regression trees Stents Random Forest
ISSN:	0268-3768, 1433-3015
Online-Zugang:	Volltext
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