Author/Authors
TETIK, Nevzat İnönü Üniversitesi - İktisadi ve İdari Bilimler Fakültesi - İşletme Bölümü, Turkey , TETIK, Nevzat Manas Üniversitesi, Kırgızistan , KARAHAN, Mehmet Dicle Üniversitesi - İktisadi ve İdari Bilimler Fakültesi - İşletme Bölümü, Turkey , SOLAK, Bilal İnönü Üniversitesi - İktisadi ve İdari Bilimler Fakültesi - İşletme Bölümü, Turkey
Title Of Article
MAJOR FACTORS AFFECTING THE DETERMINATION OF GREECE CRISIS WITH ARTIFICIAL NEURAL NETWORKS METHOD
شماره ركورد
36830
Abstract
As globalization spreads worldwide, the interaction between economies makes progress rapidly. This progressive interaction has both negative and positive side effects. For instance, a crisis occurred in one country can easily turn into a global recession. Lately, the crisis in Greek economy has affected world economy in a very short period. In this study factors, that would have been reasons of the Greece economic crisis, were analyzed by Artificial Neural Networks method. The result of the study shows that unemployment was the most important factor of the crisis.
From Page
35
NaturalLanguageKeyword
Greece Economic Crisis , Artificial Neural Networks Method , Unemployment
JournalTitle
Journal Of Economics and Administrative Sciences, Ataturk University
To Page
46
JournalTitle
Journal Of Economics and Administrative Sciences, Ataturk University
Link To Document