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- W29344536 abstract "This paper presents a method integrating artificial neural network (ANN) in cellular automata (CA) to simulate land use changes in Luxembourg and the areas adjacent to its borders. The ANN is used as a base of CA model transition rule. The proposed method shows promising results for prediction of land use over time. The ANN is validated using cross-validation technique and Receiver Operating Characteristic (ROC) curve analysis, and compared with logit model and a support vector machine approach. The application described in this paper highlights the interest of integrating ANNs in CA based model for land use dynamic simulation." @default.
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- W29344536 date "2012-03-26" @default.
- W29344536 modified "2023-09-23" @default.
- W29344536 title "Cellular automata based on artificial neural network for simulating land use changes" @default.
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- W29344536 doi "https://doi.org/10.5555/2331751.2331752" @default.
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