Data-Driven Prognostics Using Random Forests: Prediction Of Tool Wear
PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 3(2017)
关键词
Tool wear prediction,Predictive modeling,Machine learning,Random forests (RFs),Support vector machines (SVMs),Artificial neural networks (ANNs),Prognostics and health management
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