Open AccessA Comparison of SVM and Traditional Methods for Demand Forecasting in a Seaport: A case study
Author(s) -
Hacı Mehmet Güzey,
Mehmet Akansel
Publication year - 2019
Publication title -
international journal of scientific and technological research
Language(s) - English
DOI - 10.7176/jstr/5-3-19
Subject(s) - demand forecasting , container (type theory) , computer science , support vector machine , operations research , artificial intelligence , machine learning , engineering , mechanical engineering