A Random Forest-Cellular Automata Modeling Approach to Predict Future Forest Cover Change in Middle Atlas Morocco, Under Anthropic, Biotic and Abiotic Parameters.
Anass LegdouHassan ChafikAouatif AmineSaid LahssiniMohamed BerradaPublished in: ICISP (2020)
Keyphrases
- cellular automata
- random forest
- random forests
- decision trees
- cellular automaton
- cellular automata model
- feature set
- lattice gas
- ensemble methods
- cellular automaton model
- discrete dynamical systems
- pattern formation
- multi class
- chaotic dynamics
- pedestrian dynamics
- decision tree learning algorithms
- data sets
- current trends
- multi label
- semi supervised
- mobile robot
- learning algorithm