The urban sprawl dynamics: does a neural network understand the spatial logic better than a cellular automata?



285

Reggiani A. (2000) Spatial economic science, Springer Verlag, Berlin and Heidelberg

Rumelhart D. E., McClelland J. L. (eds.) (1986) Parallel Distributed Processing, Vol.1
Foundations, Explorations in the Microstructure of Cognition, Vol. 2 Psychological
and Biological Models
. The MIT Press, Cambridge, MA, London, England.

Sui D.Z. (1992) “An initial investigation of integrating NN with GIS for spatial
Decision Making”, Proceedings of GIS/LIS 92, San Jose, California

White R., Engelen G. (2000) “High resolution integrated modelling of the spatial
dynamics of urban and regional systems”,
Computers, Environment and urban
Systems
, 24, 383-400

Wu F. (1998) “An experiment on the generic polycentricity of urban growth in a
cellular automatic city”,
Environment and Planning B, 25, 731-752

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