@techreport{fece239f80524adea797c2883494d6f5,
title = "Simulation of land use changes using cellular automata and artificial neural network",
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.",
keywords = "Artificial neural network, Cellular automata, Land use changes, Modelling, Spatial planning and dynamics",
author = "Hichem Omrani and Omar Charif and Philippe Gerber and Katalin B{\'o}dis and Basse, {Reine maria}",
year = "2012",
language = "English",
series = "Working Papers",
publisher = "CEPS/INSTEAD",
number = "2012-01",
type = "WorkingPaper",
institution = "CEPS/INSTEAD",
}