A methodology for neural spatial interaction modeling

Geographical Analysis

Volumn 34, Issue 3, 2002, Pages 207-228

  Fischer, Manfred M ^a   Reismann, Martin ^a  

^a VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD ANALYSIS; METHODOLOGY; MODELING; SPATIAL ANALYSIS;

EID: 0036336876     PISSN: 00167363     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2002.tb01085.x     Document Type: Article

References (26)

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5. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
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7. A genetic-algorithms based evolutionary computational neural network for modelling spatial interaction data
8. Evaluating neural spatial interaction modelling by bootstraping
9. A global search procedure for parameter estimation in neural spatial interaction modelling
10. Neural network modelling of constrained spatial interaction flows
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12. Neural net based interregional telephone traffic models
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14. On information and sufficiency
15. Trip distribution forecasting with multilayer perceptron neural networks: A critical evaluation
16. Modelling intra-urban transport flows in Italy
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18. Neural networks and logit models applied to commuters' mobility in the metropolitan Area of Milan
19. Backpropagation: The basic theory
20. Feedforward neural networks for spatial interaction: Are they trustworthy forecasting tools?