Abstract
Artificial Neural Networks and statistical methods are applied on real data sets for forecasting, classification, and clustering problems. Hybrid models for two components are examined on different data sets; tourist arrival forecasting to Turkey, macro-economic problem on rescheduling of the countries’ international debts, and grouping twenty-five European Union member and four candidate countries according to macro-economic indicators.
DOI
10.22237/jmasm/1162354980
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons