Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm
Payman Eslami, Kihyo Jung, Daewon Lee and Amir Tjolleng
| Year of publication: |
2017
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|---|---|
| Authors: | Eslami, Payman ; Jung, Kihyo ; Lee, Daewon ; Tjolleng, Amir |
| Published in: |
Maritime economics & logistics : a quarterly scientific journal committed to the advancement of maritime economics as a distinct and well defined branch of both applied economics and international business. - Basingstoke : Palgrave Macmillan, ISSN 1479-2931, ZDB-ID 2108520-1. - Vol. 19.2017, 3, p. 538-550
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| Subject: | tanker freight rate | parsimonious variable | time-lag effect | artificial neural network | adaptive genetic algorithm | hybrid prediction model | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Evolutionärer Algorithmus | Evolutionary algorithm | Frachtrate | Freight rate | Theorie | Theory |
| Extent: | Illustrationen |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1057/mel.2016.1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011732176