Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13835
Title: A neural network measurement of relative military security - The case of Greece and Cyprus
Authors: 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
Keywords: Arms race;Neural networks;Relative military security
Issue Date: 2001
Source: Defence and Peace Economics, 2001, vol.12, no.4, pp.303-324
Volume: 12
Issue: 4
Start page: 303
End page: 324
Journal: Defence and Peace Economics 
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.
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 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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