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Titlebook: Spatial Analysis and GeoComputation; Selected Essays Manfred M. Fischer Book 2006 Springer-Verlag Berlin Heidelberg 2006 Adaptive pattern c

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Neural Network Modelling of Constrained Spatial Interaction Flowsrd origin-constrained gravity model and the two-stage neural network approach, suggested by Openshaw (1998), illustrates the superiority of the proposed model in terms of the generalisation performance measured by ARV and SRMSE.
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Learning in Neural Spatial Interaction Models: A Statistical Perspectiveh to solve the maximum likelihood learning problem. Interregional telecommunication traffic flow data from Austria are used as test bed for comparing the performance of the two learning procedures. The study illustrates the superiority of Alopex based global search, measured in terms of Kullback and Leibler’s information criterion.
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ormation in response to vaccination (e.g. hepatitis B or influenza) is suppressed (6–7). Skin anergy develops and immune diseases burn out during the progress of renal failure. We may assume an acquired immune deficiency in these patients. In this suppression of the immune system, a central role may
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