A Neural Network Measurement of Relative Military Security: The Case of Greece and Cyprus

Andreas S. Andreou and George Zombanakis

MPRA Paper from University Library of Munich, Germany

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)
JEL-codes: C45 H56 (search for similar items in EconPapers)
Date: 2001, Revised 2001
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Citations: View citations in EconPapers (11)

Published in Defence and Peace Economics 4.12(2001): pp. 303-324

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