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Auteur E.F. Castejon |
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Using neural networks and cellular automata for modelling intra-urban land-use dynamics / C.M. Almeida in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)
[article]
Titre : Using neural networks and cellular automata for modelling intra-urban land-use dynamics Type de document : Article/Communication Auteurs : C.M. Almeida, Auteur ; J.M. Gleriani, Auteur ; E.F. Castejon, Auteur ; B.S. Soares-Filho, Auteur Année de publication : 2008 Article en page(s) : pp 943 - 963 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] automate cellulaire
[Termes IGN] milieu urbain
[Termes IGN] modèle de simulation
[Termes IGN] planification urbaine
[Termes IGN] réseau neuronal artificiel
[Termes IGN] Sao Paulo
[Termes IGN] utilisation du sol
[Termes IGN] villeRésumé : (Auteur) Empirical models designed to simulate and predict urban land-use change in real situations are generally based on the utilization of statistical techniques to compute the land-use change probabilities. In contrast to these methods, artificial neural networks arise as an alternative to assess such probabilities by means of non-parametric approaches. This work introduces a simulation experiment on intra-urban land-use change in which a supervised back-propagation neural network has been employed in the parameterization of several biophysical and infrastructure variables considered in the simulation model. The spatial land-use transition probabilities estimated thereof feed a cellular automaton (CA) simulation model, based on stochastic transition rules. The model has been tested in a medium-sized town in the Midwest of Sao Paulo State, Piracicaba. A series of simulation outputs for the case study town in the period 1985-1999 were generated, and statistical validation tests were then conducted for the best results, based on fuzzy similarity measures. Copyright Taylor & Francis Numéro de notice : A2008-310 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701731168 En ligne : https://doi.org/10.1080/13658810701731168 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29303
in International journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 943 - 963[article]Exemplaires(2)
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