Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Machine-Learning Approach to Predict Main Energy Consumption under Realistic Operational Conditions



    Erschienen in:

    Erscheinungsdatum :

    2012



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    Lokalklassifikation TIB:    020/7035
    BKL:    55.40 Schiffstechnik, Schiffbau



    A machine-learning approach to predict main energy consumption under realistic operational conditions

    Petersen, Joan P. / Winther, Ole / Jacobsen, Daniel J. | Tema Archiv | 2012


    A Machine-Learning Approach to Predict Main Energy Consumption under Realistic Operational Conditions

    Petersen, Joan P. / Winther, Ole / Jacobsen, Daniel J. | Taylor & Francis Verlag | 2012


    Simulation Evaluation of Controller-Managed Spacing Tools under Realistic Operational Conditions

    Callantine, Todd J. / Hunt, Sarah M. / Prevot, Thomas | NTRS | 2014


    MACHINE LEARNING TO PREDICT PART CONSUMPTION USING FLIGHT DEMOGRAPHICS

    SANZONE ANDREA / STERLING MILLIE / ASHOK RAHUL et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Machine Learning Application to Predict Turbocharger Performance under Steady-State and Transient Conditions

    Jeyamoorthy, Arravind / Tanabe, Iku / Kusaka, Jin et al. | SAE Technical Papers | 2021