On application of some artificial intelligence methods in ship design

• Autorzy: Meler-Kapcia M. , Zieliński S. , Kowalski Z.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

artificial intelligence; expert system; neural networks; relational database; case-based reasoning method; aided ship design

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2005
• Tom: nr 1
• Strony: 14--20
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Meler-Kapcia M.

• Faculty of Ocean Engineering and Ship Technology, Gdańsk University Technology, Narutowicza 11/12, 80-952 Gdańsk, Poland

autor

Zieliński S.

• Faculty of Ocean Engineering and Ship Technology, Gdańsk University Technology, Narutowicza 11/12, 80-952 Gdańsk, Poland

autor

Kowalski Z.

• Faculty of Electric Engineering and Automation, Gdańsk University Technology, Narutowicza 11/12, 80-952 Gdańsk, Poland

Bibliografia

• 1. Aamodt A., Plaza E.: Case-Based Reasoning, foundation issues, methodological variations and system approaches. Artificial Intelligence Communications, Vol. 7, No. 1/1994
• 2. Cepowski T., Szelangiewicz T.: Artificial neural networks in research on ship seaworthiness qualities (in Polish). Budownictwo Okrętowe, No.5/2002
• 3. Clausen H.B., Lutzen M., Friis-Hansen A., Bjorneboe N.: Bayesian and neural networks for preliminary ship design. Marine Technology, No. 4/2001
• 4. Heiat A. : Comparison of artificial neural network and regression models for estimating software development effort. Information and Software Technology, Vol. 44, 2002
• 5. Kowalski Z., Arendt R., Meler-Kapcia M., Zieliński S.:An expert system for aided design of ship automation. Expert Systems with Applications, Vol. 20, No.3/2001
• 6. Kowalski Z.,Meler-Kapcia M., Zieliński S.: Selection of ship similarity calculation methods for aiding design of ship power plant automation (in Polish). Proceedings of Scientific Technical Conference on Automation, PIAP. Warsaw, 2002
• 7. Kowalski Z., Meler-Kapcia M., Zieliński S.: Applications of artificial intelligence in ship designing (in Polish). Proceedings of Scientific Technical Conference on Automation, PIAP. Warsaw, 2003
• 8. Lee D., Lee K.H.: An approach to case-based system for conceptual ship design assistent. Expert Systems with Applications, Vol.16, No.2/1999
• 9. Meler-Kapcia M., Zieliński S., Kowalski Z. : On application of the Case-Based Reasoning methods in ship automation design, Polish Maritime Research, No. 2/2003
• 10. Mulawka J. : Expert systems (in Polish). WN-T. Warsaw, 1996
• 11. Reich Y., Barai S. V: A methodology for building neural networks models from empirical engineering data. Engineering Applications of Artificial Intelligence, Vol.13, 2002
• 12. Rutkowska D., Piliński M., Rutkowski L.: Neural networks, genetic algorithms and fuzzy systems (in Polish). WN-T. Warsaw, 1999
• 13. Skalle P., Sveen J., Aamodt A.: Improved efficiency of oil well drilling through case based reasoning. Proceedings of 6th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), Melbourne, August-September 2000. Lecture Notes in Artificial Intelligence. Springer Verlag. 2000
• 14. Yager R.R., Filev D.P.: Background for fuzzy modelling and control (in Polish). WN-T. Warsaw, 1999
• 15. Zakarian V.L., Kaiser M.J.: An embedded hybrid neural network and expert system in an computer-aided design system. Expert Systems with Applications, Vol.15, 1999
• 16. Zbroja S.: Case-Based Reasoning in data bases and knowledge bases - selected aspects of formed representation of cases (in Polish). 2nd National Conference on Computer Methods and Systems in Scientific Research and Engineering Design. Cracov, October, 1999