Neural modeling classification of western and transition European economies based on energy patterns

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dc.contributor.author Kitikidou, K en
dc.contributor.author Lliadis, L en
dc.contributor.author Spartali, L en
dc.date.accessioned 2014-03-01T02:11:30Z
dc.date.available 2014-03-01T02:11:30Z
dc.date.issued 2012 en
dc.identifier.issn 14728915 en
dc.identifier.uri http://hdl.handle.net/123456789/29926
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84864433465&partnerID=40&md5=2cbd4334786a7f27945d104691815411 en
dc.subject Artificial neural networks en
dc.subject Atmospheric pollutants en
dc.subject Multi-Layer perceptron en
dc.subject Radial-Basis function en
dc.subject Transition economies en
dc.subject.other Atmospheric pollutants en
dc.subject.other Economic growths en
dc.subject.other Energy patterns en
dc.subject.other Energy strategy en
dc.subject.other Environmental pollutions en
dc.subject.other European economy en
dc.subject.other Financial development en
dc.subject.other Gross national incomes en
dc.subject.other Hungary en
dc.subject.other Multi layer perceptron en
dc.subject.other Multi-layer perceptrons en
dc.subject.other Neural modeling en
dc.subject.other Radial basis functions en
dc.subject.other Research efforts en
dc.subject.other Transition economy en
dc.subject.other United kingdom en
dc.subject.other Energy management en
dc.subject.other Neural networks en
dc.subject.other Nitrogen oxides en
dc.subject.other Pattern recognition systems en
dc.subject.other Sulfur en
dc.subject.other Economic analysis en
dc.title Neural modeling classification of western and transition European economies based on energy patterns en
heal.type journalArticle en
heal.publicationDate 2012 en
heal.abstract This paper aims in comparing countries with different energy strategies and also in demonstrating the close connection between environment and financial development in the ex-eastern European economies, during their transition to market ones. Multi-layer perceptrons (MLPs) and radial-basis function (RBF) neural networks have been developed which are trained to classify countries based on their emissions of carbon, sulphur and nitrogen oxides, and on their Gross National Income. Three typical ex-eastern economies (Russia, Poland and Hungary) and three main western economies (United States, France and United Kingdom) were studied in this research effort. Results showed that the linkage between environmental pollution and economic growth has been maintained in the ex-eastern countries. ©2012 CRL Publishing Ltd. en
heal.journalName Engineering Intelligent Systems en
dc.identifier.volume 20 en
dc.identifier.issue 1-2 en
dc.identifier.spage 19 en
dc.identifier.epage 26 en

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