Statistical Methods and Artificial Neural Networks

Creative Commons License

Mammadov M., YAZICI B., Yolacan S., ASLANARGUN A., YÜZER A. F., Agaoglu E.

JOURNAL OF MODERN APPLIED STATISTICAL METHODS, cilt.5, sa.2, ss.495-512, 2006 (ESCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 2
  • Basım Tarihi: 2006
  • Doi Numarası: 10.22237/jmasm/1162354980
  • Dergi Adı: JOURNAL OF MODERN APPLIED STATISTICAL METHODS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.495-512
  • Anahtar Kelimeler: 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
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Anadolu Üniversitesi Adresli: Evet

Özet

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.