Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13835
DC FieldValueLanguage
dc.contributor.authorZombanakis, G. A.-
dc.contributor.authorAndreou, Andreas S.-
dc.contributor.otherΑνδρέου, Ανδρέας Σ.-
dc.date.accessioned2019-05-31T06:29:35Z-
dc.date.available2019-05-31T06:29:35Z-
dc.date.issued2001-
dc.identifier.citationDefence and Peace Economics, 2001, vol.12, no.4, pp.303-324en_US
dc.identifier.issn10242694-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/13835-
dc.description.abstractThis 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofDefence and Peace Economicsen_US
dc.rights© Taylor & Francisen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArms raceen_US
dc.subjectNeural networksen_US
dc.subjectRelative military securityen_US
dc.titleA neural network measurement of relative military security - The case of Greece and Cyprusen_US
dc.typeArticleen_US
dc.collaborationBank of Greeceen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/10430710108404990en_US
dc.identifier.scopus2-s2.0-0010750035en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0010750035en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.issue4en_US
dc.relation.volume12en_US
cut.common.academicyear2001-2002en_US
dc.identifier.spage303en_US
dc.identifier.epage324en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1476-8267-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-7104-2097-
crisitem.author.parentorgFaculty of Engineering and Technology-
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