چکیده مقاله
Without a doubt the GDP1 is one of the substantial indicators in evaluation of every nation’s economic growth There are different types of econometric parameters that affect on the behavior of GDP and make it excessively non linear and high stochastic Under such circumstances, experts are being tried in the development of techniques in order to define such a complex phenomenon The main objective of this research is to propose a hybrid model to predict the future GDP of Turkey The proposed model consists of three stages In the first stage, after lag selection, the most efficient features are selected using SRA2 Afterward, these variables are used in order to develop proposed model, in which the model uses support vector machines that the parameters of which are tuned by GA3 Finally, results demonstrated that accuracy of the proposed hybrid model is highly promising than the ANN4 and ANFIS5 models
کلیدواژهها
نویسندگان
Elmira Emsia
Assistant Professor, Department of Accounting, Damghan Branch, Islamic Azad University, Damghan, Iran
شیوه ارجاع
Emsia, Elmira,1398,Economic Growth Prediction Using Optimized Support Vector Machines,International Conference on New Research in Management, Economics, Accounting and Banking
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی پژوهش های نوین در مدیریت،اقتصاد،حسابداری و بانکداری30 تیر 1398