Simulating the Evolution of Romanian's Pupils and Students Considering the Country's Economic Activity

Margareta Ilie (), Constantin Ilie () and Ionut Antohi
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Margareta Ilie: Faculty of Economic Science, OVIDIUS University from Constanta
Constantin Ilie: Faculty of Mechanical, Industrial and Maritime Engineering, OVIDIUS University from Constanta
Ionut Antohi: Faculty of Economic Science, OVIDIUS University from Constanta

Ovidius University Annals, Economic Sciences Series, 2012, vol. XII, issue 1, 996-1001

Abstract: The authors present the result of a research that uses already trained and validated artificial neural networks (ANN) in order to simulate the influence of Romanian’ economic situation over the number of country’s pupils and students (PAS). The objective is to determine which of the four economic indicators (GDP per capita in PPS, Share of government budget appropriations or outlays on research and development, Real GDP per capita and Employment rate) have the more influence and is that influence overs the evolution of Romanian pupils and students. The present paper continues to reveal the result of a research from which the early results were shown in a different international conference. In conclusion, the use of the ANN is considered a success and the authors determine the possibility that ANN research application be extended to other countries or even to the European zone.

Keywords: Artificial intelligence; Artificial Neural Network (ANN); Pupils and Students; GDP per capita. (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xii:y:2012:i:12:p:996-1001

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