Performance improvement techniques for neural networks in tool condition monitoring
The performance of data-driven algorithms in tool condition monitoring often depends on the
combinations of different factors such as data quality, input dimensions, and model …
combinations of different factors such as data quality, input dimensions, and model …
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 …
prediction performance of the algorithms, availability of data sets, and advancements in …
A Dropout-based Neural Network Framework for Tool Wear Prediction under Uncertainty
Data-driven algorithms have been widely applied in predicting tool wear because of the high
prediction performance of the algorithms. Although most of the algorithms are supposed to …
prediction performance of the algorithms. Although most of the algorithms are supposed to …
[PDF][PDF] Addressing Uncertainty in Tool Wear Prediction with Dropout-Based Neural Network. Computers 2023, 12, 187
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 …
prediction performance of the algorithms, availability of data sets, and advancements in …
Advanced Numerical Modeling in Manufacturing Processes
A Dey - 2022 - search.proquest.com
In manufacturing applications, a large number of data can be collected by experimental
studies and/or sensors. This collected data is vital to improving process efficiency …
studies and/or sensors. This collected data is vital to improving process efficiency …