Journals - MOST Wiedzy

Logo

Application of Artificial Neural Networks to investigations of ship seakeeping ability

Abstract

In order to optimize the ship design at its conceptual and preliminary stages with taking into account also seakeeping criteria, simple and simultaneously exact relationships between the basic ship design parameters and seakeeping ability are necessary. The wave induced motions of the ship in irregular waves as well as phenomena accompanying the motions, are determined on the basis of the frequency transfer functions of the ship motions in regular waves. In this paper an approximation method is presented for determination of such transfer functions with the use of the Artificial Neural Networks (ANNs). The attached results of numerical calculations show that the method provides exact data for ships of very different sizes, within wide ranges of ship velocity and direction of wave relative to the ship.

Keywords:

-

Details

Issue
Vol. 8 No. 4(30) (2001)
Section
Latest Articles
Published
13-10-2021
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • TOMASZ CEPOWSKI

    Maritime University of Szczecin
  • TADEUSZ SZELANGIEWICZ

    Technical University of Szczecin

Download paper