@CONFERENCE\{IMM2009-05702,
    author       = "B. P. Pedersen and J. Larsen",
    title        = "Modeling of Ship Propulsion Performance",
    year         = "2009",
    month        = "jan",
    keywords     = "Propulsion; performance; monitoring; non-linear neural network regression; neural networks; fuel consumption",
    booktitle    = "World Maritime Technology Conference WMTC2009, Jan. 21-24",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "The Institute of Marine Engineers",
    organization = "",
    address      = "Mumbai, India",
    url          = "http://www.wmtc2009.com/",
    abstract     = "The paper addresses prediction of propulsion power from measurement of external variables. Propulsion pwer was prediceted with an relative error of less than 2.7\%, using a single hidden layer neural network while classical methods have an relative error of more than 5\%. The prediction was carried out for four different states with the following input variables: ship speed, relative wind speed and direction, air temperature and sea water temperature."
}