Cellular automata based on artificial neural network for simulating land use changes

Authors:
Omar Charif;Hichem Omrani;Reine-Maria Basse
Affiliations:
UTC and CEPS/INSTEAD;CEPS/INSTEAD;CEPS/INSTEAD
Venue:
Proceedings of the 45th Annual Simulation Symposium
Year:
2012

Citing 6
Cited 0

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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.