Predicting Trajectories of Urban Growth in the Coastal Southeast

Author:

Allen Jeffery S.,Lu Kang Shou

Publisher

Springer New York

Reference36 articles.

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2. Allen, J. and K. Lu. 2004. Artificial neural network vs. binary logistic regression: Two alternative models for predicting urban growth in the Myrtle Beach region. Report submitted to NOAA’s Land Use-Coastal Ecosystem Study (LU-CES) Program. (Unpublished manuscript, 26p.)

3. Anderson, J. A. 1986. Cognitive capabilities of a parallel system. In, Bienestoch, E., F. Fogelman-Souli, and Weisbuch (eds.), Disordered Systems and Biological Organization. NATO ASI Series, F20, Springer-Verlag, Berlin.

4. Anderson, J. A. and E. Rosenfeld, editors. 1988. Neurocomputing: Foundations of research. MIT-Press, Cambridge, Mass.

5. Anderson, J. A., R. M. Golder, and G. L. Murphy. 1986. Concepts in distributed systems, pp. 634:260–272. In, Szu, H. H. (ed.), Optical and Hybrid Computing. Society of Photo-Optical Instrumentation Engineers, Bellington, WA.

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