Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Abstract)
Titel: Improving the forecast of freight transport demand using machine learning and time series analysis
Autor/-in: Bruckmann, Dirk
Jackson, Clare
Ott, Thomas
Weidmann, Ulrich
Angaben zur Konferenz: 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014
Erscheinungsdatum: 2014
Sprache: Englisch
Fachgebiet (DDC): 003: Systeme
URI: https://digitalcollection.zhaw.ch/handle/11475/4397
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: Life Sciences und Facility Management
Organisationseinheit: Institut für Computational Life Sciences (ICLS)
Enthalten in den Sammlungen:Publikationen Life Sciences und Facility Management

Dateien zu dieser Ressource:
Es gibt keine Dateien zu dieser Ressource.
Zur Langanzeige
Bruckmann, D., Jackson, C., Ott, T., & Weidmann, U. (2014). Improving the forecast of freight transport demand using machine learning and time series analysis. 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.
Bruckmann, D. et al. (2014) ‘Improving the forecast of freight transport demand using machine learning and time series analysis’, in 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.
D. Bruckmann, C. Jackson, T. Ott, and U. Weidmann, “Improving the forecast of freight transport demand using machine learning and time series analysis,” in 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014, 2014.
BRUCKMANN, Dirk, Clare JACKSON, Thomas OTT und Ulrich WEIDMANN, 2014. Improving the forecast of freight transport demand using machine learning and time series analysis. In: 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014. Conference paper. 2014
Bruckmann, Dirk, Clare Jackson, Thomas Ott, and Ulrich Weidmann. 2014. “Improving the Forecast of Freight Transport Demand Using Machine Learning and Time Series Analysis.” Conference paper. In 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014.
Bruckmann, Dirk, et al. “Improving the Forecast of Freight Transport Demand Using Machine Learning and Time Series Analysis.” 14th Swiss Transport Research Conference, Ascona, 14-16 May 2014, 2014.


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.