A neural network measurement of relative military security - the case of Greece and Cyprus
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.
Volume (Year): 12 (2001)
Issue (Month): 4 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/GDPE20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/GDPE20|
When requesting a correction, please mention this item's handle: RePEc:taf:defpea:v:12:y:2001:i:4:p:303-324. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.