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Bjørneboe, Nanna Katrine

  • Computer Science
  • Design


Nanna Katrine Bjørneboe - DTU Orbit (20/06/14) Nanna Katrine Bjørneboe - DTU Orbit (20/06/14) Nanna Katrine Bjørneboe Department of Naval Architecture and Offshore Engineering 04/07/03 to 03/09/13 164A [email protected] Phone: 45251375 Job title: Forskningsassistent Department of Mechanical Engineering 04/07/03 to 03/09/13 101E, 164A [email protected] Phone: 45251375 Job title: Forskningsassistent Publications: Bayesian and neural networks for preliminary ship design To ease the determination of the main particulars of a ship at the initial design stage it is convenient to have tools which, given the type of ship and a few other parameters, output estimations of the remaining dimensions. To establish such a tool, a database of the characteristics of about 87 000 ships is acquired and various methods for derivation of empirical relations are employed. A regression analysis is carried out to fit functions to the data. Further, the data are used to learn Bayesian and neural networks to encode the relations between the characteristics. On the basis of examples, the three methods are evaluated in terms of accuracy and limitations of use. For different types of ships, the methods provide information on the relations between length, breadth, height, draft, speed, displacement, block coefficient and loading capacity. Thus, useful tools are available to the designer when he chooses the preliminary main characteristics of a ship. General information State: Published Organisations: Department of Mechanical Engineering Authors: Clausen, H. B. (Ekstern), Lützen, M. (Intern), Friis-Hansen, A. (Intern), Bjørneboe, N. K. (Intern) Pages: 268-277 Publication date: Oct 2001 Main Research Area: Technical/natural sciences Publication information Journal: Marine Technology Volume: 38 Journal number: 4 ISSN (Print): 0025-3316 Ratings: FI (2012): 1 ISI indexed (2012): yes FI (2011): 1 ISI indexed (2011): yes FI (2010): 1 FI (2009): 1 FI (2008): 1 Orig

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