Prediction of surface roughness and depth of cut in abrasive waterjet milling of alumina ceramic using Machine learning algorithms.
R. PrabhuM. KanthababuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- machine learning algorithms
- surface roughness
- benchmark data sets
- machine learning
- learning algorithm
- prediction accuracy
- decision trees
- machine learning methods
- random forests
- standard machine learning algorithms
- machine learning models
- specular reflection
- curved surfaces
- cutting tool
- manufacturing process
- fuzzy inference system
- viewpoint
- artificial neural networks
- soft computing
- depth map