A neural network measurement of relative military security - the case of Greece and Cyprus
A. S. Andreou and
G. A. Zombanakis
Defence and Peace Economics, 2001, vol. 12, issue 4, 303-324
Abstract:
This paper aims at introducing a relative security measure, applicable to evaluating the impact of arms races on the military security of allies. This measure is based on demographic criteria, which play a dominant role in a number of arms races involving military alliances. The case of Greece and Cyprus, on one hand, and Turkey on the other, is the one to which our relative security measure is applied and tested. Artificial neural networks were trained to forecast the future behaviour of relative security. The high forecasting performance permitted the application of alternative scenarios for predicting the impact of the Greek-Turkish arms race on the relative security of the Greek-Cypriot alliance.
Keywords: Arms race; Neural networks; Relative military security (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/10430710108404990 (text/html)
Access to full text is restricted to subscribers.
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:taf:defpea:v:12:y:2001:i:4:p:303-324
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GDPE20
DOI: 10.1080/10430710108404990
Access Statistics for this article
Defence and Peace Economics is currently edited by Professor Keith Hartley
More articles in Defence and Peace Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().