A methodological framework for the integration of machine learning algorithms into agent-based simulation models.
Nikola ZornicAleksandar MarkovicPublished in: J. Univers. Comput. Sci. (2022)
Keyphrases
- machine learning algorithms
- simulation models
- methodological framework
- agent based simulation
- simulation model
- benchmark data sets
- machine learning
- learning algorithm
- decision trees
- predictive accuracy
- machine learning methods
- learning problems
- random forests
- simulation tools
- learning tasks
- machine learning approaches
- transfer learning
- input features
- air cargo
- machine learning systems
- data sets
- multi agent
- agent model
- active learning
- feature space
- multi agent systems
- classification accuracy
- statistical machine learning
- data assimilation
- text classification