期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2006
卷号：5
期号：2
页码：24
出版社：Wayne State University
摘要：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.
关键词：Time series; ARIMA; neural networks; hybrid models; logistic and probit regression; rescheduling and non-rescheduling of the international debts; Kohonen nets; cluster analysis; Maastricht criteria
