Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms.
Diego FerreñoJose A. Sainz-AjaIsidro A. CarrascalMiguel CuartasJoao PomboJose A. CasadoSoraya DiegoPublished in: Adv. Eng. Softw. (2021)
Keyphrases
- machine learning algorithms
- mechanical properties
- benchmark data sets
- learning algorithm
- composite materials
- machine learning
- learning problems
- machine learning methods
- prediction accuracy
- decision trees
- predictive accuracy
- sufficient conditions
- standard machine learning algorithms
- random forests
- input features
- high speed
- finite element model
- machine learning models
- learning tasks
- machine learning systems
- machine learning approaches
- learning models
- data sets
- machine learning and data mining algorithms
- material properties
- multi view