The prediction of structural properties of Ni-Ti shape memory alloy by the supervised machine learning methods.
Oleh YasniyNadiia LutsykVladyslav DemchykHalyna OsukhivskaOlha MalyshevskaPublished in: ITTAP (2023)
Keyphrases
- machine learning methods
- structural properties
- machine learning
- shape memory alloy
- machine learning algorithms
- learning algorithm
- machine learning approaches
- prediction accuracy
- ensemble methods
- topological properties
- tree width
- prediction model
- network evolution
- feature selection
- learned knowledge
- neural network
- supervised learning
- control system
- statistical methods
- protein protein interactions