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A Neural Network Approach for Mobility Panel Analysis

In: GeoComputational Modelling

Author

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  • Günter Haag

    (Steinbeis Transfer Centre)

Abstract

Currently, neural networks are being widely discussed in many research areas. But despite this clear interest, it is curious to find such a large gap between theoretically based research activities and real world applications. Especially in the field of social sciences, worthwhile applications of computational neural networks [CNNs] are the exception rather than the rule.

Suggested Citation

  • Günter Haag, 2001. "A Neural Network Approach for Mobility Panel Analysis," Advances in Spatial Science, in: Manfred M. Fischer & Yee Leung (ed.), GeoComputational Modelling, chapter 9, pages 220-235, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04637-1_9
    DOI: 10.1007/978-3-662-04637-1_9
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    Cited by:

    1. Simonetta Longhi & Peter Nijkamp & Aura Reggianni & Erich Maierhofer, 2005. "Neural Network Modeling as a Tool for Forecasting Regional Employment Patterns," International Regional Science Review, , vol. 28(3), pages 330-346, July.

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