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Forecasting the role of public expenditure in economic growth Using DEA-neural network approach Arshia Amiri a, b,*, and Bruno Ventelou b, a b
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Document Date: 2012-05-25 11:20:58


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City

London / Marseille / /

Company

A.D. & Curram S.P. / /

Country

Germany / Switzerland / Norway / France / Japan / Austria / United States / Netherlands / Australia / Sweden / Finland / Spain / Greece / Denmark / /

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Facility

College of Agriculture / Shiraz University / /

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IndustryTerm

fuzzy clustering algorithm / propagation neural network / energy function / neural network / back propagation networks / multi-layer neural networks / Back propagation algorithm / back-propagation algorithm / parallel distributed processing models / neural networks / neutral networks / Artificial neural network / feed forward network / economic services / analyst software / artificial neural networks / forward network / /

Organization

Department of Agricultural / Royal Statistical Society / Operational Research Society / Shiraz University / Shiraz / College of Agriculture / /

Person

Swaroop / V / Arshia Amiri / Bruno Ventelou / /

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Position

forward network In / forward network neurons / Banker / Feed Forward / representative / forward network Result / analyst / Countries General Public Services / R.N. / Corresponding author / /

ProgrammingLanguage

MATLAB / R / /

PublishedMedium

Journal of Monetary Economics / Journal of Political Economy / Economics Letters / /

Technology

neural network / back-propagation algorithm / fuzzy clustering algorithm / Back propagation algorithm / /

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