A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems
Ali Azadeh, Azam Boskabadi and Shima Pashapour
| Year of publication: |
2015
|
|---|---|
| Authors: | Azadeh, Mohammad Ali ; Boskabadi, Azam ; Pashapour, Shima |
| Published in: |
International journal of services and operations management. - Olney : Inderscience, ISSN 1744-2370, ZDB-ID 2186492-5. - Vol. 21.2015, 2, p. 217-237
|
| Subject: | support vector regression | SVR | gasoline consumption | forecasting | railway system | artificial neural network | ANN | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Regressionsanalyse | Regression analysis | Mustererkennung | Pattern recognition | Benzin | Gasoline | Schienenverkehr | Railway transport | Theorie | Theory |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011380081