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On application of some artificial intelligence methods in ship design

Abstract

In the paper were presented examples of use of some intelligence tools such as a neural network, expert system and relational database to ship design. The neural network of back-propagation of errors was applied to select required power of ship main propulsion system on the basis of ship main parameters. Results obtained by using the network were compared with resulting values for similar ships found in Access database application. To aid design of the main propulsion system and ship power plant automation fuzzy logic was applied as an element of Case Based Reasoning (CBR) method in Exsys expert system as well as a few methods for selection of similar ships, elaborated by the authors.

Keywords:

artificial intelligence, expert systems, neural networks, relational database, Case-Based Reasoning method, aided ship design

Details

Issue
Vol. 12 No. 1(43) (2005)
Section
Latest Articles
Published
30-09-2021
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.

 

Author Biography

Zbigniew Kowalski ,
Gdańsk University of Technology, Faculty of Electric Engineering and Automation

 

 

Authors

  • Maria Meler-Kapcia

    Gdańsk University of Technology, Faculty of Ocean Engineering and Ship Technology
  • Stefan Zieliński

    Gdańsk University of Technology, Faculty of Ocean Engineering and Ship Technology
  • Zbigniew Kowalski

    Gdańsk University of Technology, Faculty of Electric Engineering and Automation

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