Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm
Crossref DOI link: https://doi.org/10.1057/mel.2016.1
Published Online: 2017-08-22
Published Print: 2017-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Eslami, Payman
Jung, Kihyo
Lee, Daewon
Tjolleng, Amir
Text and Data Mining valid from 2017-08-01