A Neural Network Approach for Mobility Panel Analysis
Günter Haag
Additional contact information
Günter Haag: Steinbeis Transfer Centre
Chapter 9 in GeoComputational Modelling, 2001, pp 220-235 from Springer
Abstract:
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.
Keywords: Neural Network; Neural Network Approach; Input Unit; Distance Trip; Pruning Step (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-662-04637-1_9
Ordering information: This item can be ordered from
http://www.springer.com/9783662046371
DOI: 10.1007/978-3-662-04637-1_9
Access Statistics for this chapter
More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().