Addressing Uncertainty in Tool Wear Prediction with Dropout-Based Neural Network

Data-driven algorithms have been widely applied in predicting tool wear because of the high prediction performance of the algorithms, availability of data sets, and advancements in computing capabilities in recent years. Although most algorithms are supposed to generate outcomes with high precision...

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Bibliographic Details
Main Authors: Arup Dey, Nita Yodo, Om P. Yadav, Ragavanantham Shanmugam, Monsuru Ramoni
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/12/9/187