Comparison of Classification Performances of Cascade Correlation, Kohonen and ANFIS Artificial Neural Network Models: Application on Logistic Performance Index

RENÇBER Ö. F.

EGE ACADEMIC REVIEW, cilt.18, sa.3, ss.521-535, 2018 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 3
  • Basım Tarihi: 2018
  • Doi Numarası: 10.21121/eab.2018341154
  • Dergi Adı: EGE ACADEMIC REVIEW
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.521-535
  • Çukurova Üniversitesi Adresli: Evet

Özet

In globalizing world, with the dearth of borders in international market, the logistical possibilities of countries are of great importance in terms of global competition and international trade integration. The World Bank publishes the Logistic Performance Index (LPE) Report for every two years to evaluate countries' logistical developments and to offer suggestions. With the index; countries are compared according to customs, infrastructure, international shipments, logistic quality and competence, tracking and tracing and timeliness. Within the scope of the study, answers to the following questions are sought;