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Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach.
Juan Jesús Ruiz-Aguilar
Daniel Urda
José Antonio Moscoso López
Javier González-Enrique
Ignacio J. Turias
Published in:
OLA (2020)
Keyphrases
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demand forecasting
support vector regression
forecasting accuracy
self organizing maps
historical data
exponential smoothing
supply chain
neural network
hybrid model
high dimensional
k means
support vector machine
support vector
feature vectors
support vector machine svm
water resources