In this paper, aiming at the non-linear characteristics of ocean-going sailing vessel model and the deficiencies of either the traditional mathematical methods or the neural networking modeling, an improved support vector regression (SVR) economical sailing predictive modeling method based on the fly fruit optimization algorithm (FOA) is proposed. First, using data mining techniques on the ship sailed data mining, screening, then use the processed data to establish economic sailing forecast model of the ocean-going vessels. The model synthetically considers the external natural variables which influence on the ocean-going sailing vessel and provides the economical way of sailing under the multi-variable natural weather conditions. The simulation results show that this model is able to accurately predict the pitch for the economical sailing control according to the external multivariable. It has been certificated that this method is an effective novel means to study the economical sailing control of the ocean-going vessel.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research for economy shipping of oceangoing vessel based on the FOA-SVR


    Beteiligte:
    Shi Bu-hai (Autor:in) / Guo Xie-tao (Autor:in) / Zhang Ben (Autor:in)


    Erscheinungsdatum :

    01.07.2013


    Format / Umfang :

    513667 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Oceangoing tug groningen

    Engineering Index Backfile | 1963


    Smit oceangoing motor tug "Clyde"

    Engineering Index Backfile | 1957


    Smit oceangoing motor tug "clyde"

    Engineering Index Backfile | 1957


    The economic speed of an oceangoing vessel in a dynamic setting

    Magirou, Evangelos F | Online Contents | 2015


    Oceangoing tugs for Poland

    Serbutt, R.F. | Engineering Index Backfile | 1959