Machine Learning for Self-Calibration Parameters of Data-Driven Models: Case Study of an Integrated Maintenance Digital Platform.
Janusz SzpytkoYorlandys Salgado DuarteLázaro Ramón Millares BarthelemyPublished in: MMAR (2022)
Keyphrases
- reinforcement learning
- machine learning
- data driven
- case study
- statistical models
- supervised learning
- machine learning algorithms
- neural network
- machine learning methods
- real time
- data driven approaches
- machine learning models
- analytical models
- model selection
- parameter estimation
- complex systems
- machine learning approaches
- linear model
- closed form
- free parameters
- nonlinear models
- bayesian methods
- learning models
- statistical methods
- support vector machine
- real world
- feature selection
- decision trees
- computational intelligence
- probabilistic model