A Comparative Approximate Economic Behavior Analysis Of Support Vector Machines And Neural Networks Models
作者： Amin Gharipour , Morteza Sameti , Ali Yousefian
关键词:
摘要: he application of the artificial neural networks in economics and business goes back to 1950s, while main part applications has been developed more recent years. Reviewing this research indicates that development network are not limited a specific area as it spans wide variety fields from prediction classification, most primarily focus on predictive power networks. Many researches using statistical Neural Networks (NNs) models but few involved support vector machines their studies. In paper for first time we compare approximate economic behavior ability (ANN) set data some Middle East countries.
ut.ac.ir
noormags.ir参考文章(38)
Michael McAleer, Marcelo C. Medeiros, Daniel Slottje, A neural network demand system with heteroskedastic errors Journal of Econometrics. ,vol. 147, pp. 359- 371 ,(2008) , 10.1016/J.JECONOM.2008.09.031
K.-R. Muller, S. Mika, G. Ratsch, K. Tsuda, B. Scholkopf, An introduction to kernel-based learning algorithms IEEE Transactions on Neural Networks. ,vol. 12, pp. 181- 201 ,(2001) , 10.1109/72.914517
Kurt Hornik, Maxwell Stinchcombe, Halbert White, Multilayer feedforward networks are universal approximators Neural Networks. ,vol. 2, pp. 359- 366 ,(1989) , 10.1016/0893-6080(89)90020-8
Edward Anderson, Travel and communication and international differences in GDP per capita Journal of International Development. ,vol. 19, pp. 315- 332 ,(2007) , 10.1002/JID.1342
R�muloA Chumacero, Empirical analysis of systematic errors in Chilean GDP forecasts Journal of Forecasting. ,vol. 20, pp. 37- 45 ,(2001) , 10.1002/1099-131X(200101)20:1<37::AID-FOR767>3.0.CO;2-6
Vladimir N. Vapnik, The Nature of Statistical Learning Theory ,(1995)
Eliana Angelini, Giacomo di Tollo, Andrea Roli, A neural network approach for credit risk evaluation The Quarterly Review of Economics and Finance. ,vol. 48, pp. 733- 755 ,(2008) , 10.1016/J.QREF.2007.04.001
U Thissen, R van Brakel, A.P de Weijer, W.J Melssen, L.M.C Buydens, Using support vector machines for time series prediction Chemometrics and Intelligent Laboratory Systems. ,vol. 69, pp. 35- 49 ,(2003) , 10.1016/S0169-7439(03)00111-4
Bahar Celikkol Erbas, Spiro E. Stefanou, An application of neural networks in microeconomics: Input-output mapping in a power generation subsector of the US electricity industry Expert Systems With Applications. ,vol. 36, pp. 2317- 2326 ,(2009) , 10.1016/J.ESWA.2007.12.062
Christian Schumacher, Forecasting German GDP using alternative factor models based on large datasets Journal of Forecasting. ,vol. 26, pp. 271- 302 ,(2007) , 10.1002/FOR.1026