Data-driven prediction of tool wear using Bayesian-regularized artificial neural networks.
Tam T. TruongJay AiraoPanagiotis KarrasFaramarz HojatiBahman AzarhoushangRamin AghababaeiPublished in: CoRR (2023)
Keyphrases
- data driven
- artificial neural networks
- tool wear
- failure prediction
- flank wear
- cutting tool
- prediction accuracy
- ann models
- evolutionary artificial neural networks
- neural network
- condition monitoring
- back propagation
- computational intelligence
- multi layer perceptron
- genetic algorithm ga
- using artificial neural networks
- least squares
- feed forward artificial neural networks
- soft computing
- neural network model
- decision support system
- bayesian networks
- genetic algorithm
- real time