Support vector machine algorithms : an application to ship price forecasting
Theodore Syriopoulos, Michael Tsatsaronis, Ioannis Karamanos
| Year of publication: |
2021
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|---|---|
| Authors: | Syriopoulos, Theodore ; Tsatsaronis, Michael ; Karamanos, Ioannis |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 57.2021, 1, p. 55-87
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| Subject: | Support vector machine learning | Predictive SVR models | ARIMA models | Ship price forecasting | Shipping investment | financing and risk management decisions | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Schifffahrt | Shipping | Prognose | Forecast | Künstliche Intelligenz | Artificial intelligence | Risikomanagement | Risk management | ARMA-Modell | ARMA model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-020-10032-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012486867