This paper introduces the cellular automata, current research of the field and so on, comprehensively uses principal component analysis, decision tree and neural network methods to improve cellular automata model and makes simulation and analysis of the spatial evolution of experiment image by using the improved models, then from optimisation strategy and other aspects it gives some improvement discussion and optimisation methods.
['Wenyong Dong', 'Xueshi Dong']
Utilising improved cellular automata to simulate and analyse image evolution and optimisation