Learning in Neural Spatial Interaction Models: A Statistical Perspective
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Other versions of this item:
- Manfred M. Fischer, 2002. "Learning in neural spatial interaction models: A statistical perspective," Journal of Geographical Systems, Springer, vol. 4(3), pages 287-299, October.
References listed on IDEAS
- Fischer, Manfred M. & Reismann, Martin, 2002.
"A Methodology for Neural Spatial Interaction Modeling,"
MPRA Paper
77794, University Library of Munich, Germany.
- Fischer, Manfred M. & Reismann, Martin, 2002. "A methodology for neural spatial interaction modelling," ERSA conference papers ersa02p034, European Regional Science Association.
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Cited by:
- Manfred M. Fischer, 2009.
"Principles of Neural Spatial Interaction Modeling,"
Advances in Spatial Science, in: Michael Sonis & Geoffrey J. D. Hewings (ed.), Tool Kits in Regional Science, chapter 8, pages 199-214,
Springer.
- Manfred M. Fischer, 2003. "Principles of Neural Spatial Interaction Modeling," ERSA conference papers ersa03p526, European Regional Science Association.
- Fischer, Manfred M., 2006. "Neural Networks. A General Framework for Non-Linear Function Approximation," MPRA Paper 77776, University Library of Munich, Germany.
- Javier Rubio-Herrero & Jesús Muñuzuri, 2023. "Sparse regression for data-driven deterrence functions in gravity models," Annals of Operations Research, Springer, vol. 323(1), pages 153-174, April.
- Rafael Lata & Sidonia Proff & Thomas Brenner, 2018. "The influence of distance types on co-patenting and co-publishing in the USA and Europe over time," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 49-71, July.
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- Manfred M. Fischer & Thomas Scherngell & Eva Jansenberger, 2005.
"The Geography of Knowledge Spillovers between High-Technology Firms in Europe - Evidence from a Spatial Interaction Modelling Perspective,"
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- Fischer, Manfred M. & Scherngell, Thomas & Jansenberger, Eva, 2005. "The Geography of Knowledge Spillovers between High-Technology Firms in Europe. Evidence from a Spatial Interaction Modelling Perspective," MPRA Paper 77786, University Library of Munich, Germany.
- Fischer, Manfred M., 2006. "Neural Networks. A General Framework for Non-Linear Function Approximation," MPRA Paper 77776, University Library of Munich, Germany.
- Manfred M. Fischer, 2009.
"Principles of Neural Spatial Interaction Modeling,"
Advances in Spatial Science, in: Michael Sonis & Geoffrey J. D. Hewings (ed.), Tool Kits in Regional Science, chapter 8, pages 199-214,
Springer.
- Manfred M. Fischer, 2003. "Principles of Neural Spatial Interaction Modeling," ERSA conference papers ersa03p526, European Regional Science Association.
More about this item
Keywords
Maximum likelihood learning; local search; global search; backpropagation of gradient descents; Alopex procedure; origin constrained neural spatial interaction model;All these keywords.
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
Statistics
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