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Τίτλος: A neural network measurement of relative military security - The case of Greece and Cyprus
Συγγραφείς: Zombanakis, G. A. 
Andreou, Andreas S. 
metadata.dc.contributor.other: Ανδρέου, Ανδρέας Σ.
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Λέξεις-κλειδιά: Arms race;Neural networks;Relative military security
Ημερομηνία Έκδοσης: 2001
Πηγή: Defence and Peace Economics, 2001, vol.12, no.4, pp.303-324
Volume: 12
Issue: 4
Start page: 303
End page: 324
Περιοδικό: Defence and Peace Economics 
Περίληψη: 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.
URI: https://hdl.handle.net/20.500.14279/13835
ISSN: 10242694
DOI: 10.1080/10430710108404990
Rights: © Taylor & Francis
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation: Bank of Greece 
University of Cyprus 
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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