Abdullah Erdal Tümer1,∗, Aytekin Akku¸s2
Computer Systems Science and Engineering, Vol.34, No.3, pp. 145-150, 2019, DOI:10.32604/csse.2019.34.145
Abstract In this work, a system based on Radial Basis Function Network was developed to estimate Gross Domestic Product per capita. The data set based on 180
academic parameters of 13 Organisation for Economic Co-operation and Development countries was used to verify the effectiveness and accuracy of the
proposed method. Gross Domestic Product per capita was studied to be estimated for the first time with academic parameters in this study. The system
has been optimized using feature selection method to eliminate unimportant features. Radial Basis Function network results and Radial Basis Function
network with feature selection method results were compared. The… More >
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