Cellular automata based on artificial neural network for simulating land use changes
作者： Hichem Omrani , Omar Charif , Reine-Maria Basse
关键词: Artificial intelligence 、 Support vector machine 、 Cellular automaton 、 Artificial neural network 、 Curve analysis 、 Land use 、 Selection rule 、 Computer science 、 Dynamic simulation 、 Receiver operating characteristic
摘要: This paper presents a method integrating artificial neural network (ANN) in cellular automata (CA) to simulate land use changes Luxembourg and the areas adjacent its borders. The ANN is used as base of CA model transition rule. proposed shows promising results for prediction over time. validated using cross-validation technique Receiver Operating Characteristic (ROC) curve analysis, compared with logit support vector machine approach. application described this highlights interest ANNs based dynamic simulation.
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