Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques.
Jialv HeXia LiYao YaoYe HongJinbao ZhangPublished in: Int. J. Geogr. Inf. Sci. (2018)
Keyphrases
- cellular automata
- deep learning
- unsupervised learning
- cellular automaton
- unsupervised feature learning
- machine learning
- cellular automata model
- association rules
- text mining
- lattice gas
- pattern formation
- cellular automaton model
- data mining
- knowledge discovery
- weakly supervised
- discrete dynamical systems
- neural network
- pedestrian dynamics
- mental models
- petri net
- natural language processing
- active learning
- image segmentation
- image processing