Kohonen networks as ships classifier

• Autorzy: Żak A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the technique of artifficial neural networks used as classifier of hydroacoustic signatures generated by moving ship. In the paper firstly the method of feature extraction from hydracoustic signatures using calculation of Mel-Frequency Cepstral Coefficients was discussed. Next the mathod of feature matching using for purpose of object classification basing on hydroacoustic signatures was described. The technique of artificial neural networks especially Kohonen networks which belongs to group of self organizing networks where chosen to solve the research problem of classification. the choice was caused by some advantages of mentioned kind of neural networks for example they are ideal for finding relationships amongst complex sets of data, they have possibility to self expand the set answers for new input vectors. To check the correctness of classifier work the research in which the number of right classification for presented and not presented before hydroacoustic signatures were made. some results of research were presented on this paper.

Słowa kluczowe

EN

Kohonen networks; hydroacoustics; ships classifier

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2008
• Tom: Vol. 11
• Strony: 467--476
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Żak A.

• Polish Naval academy, Smidowicza 69, 81-103 Gdynia, Polanda.zak,

Bibliografia

• 1. J.C. Fort, SOM’s mathematics, Neural Networks, 19: 812–816, 2006.
• 2. I. Gloza, S. J. Malinowski, Underwater Noise Characteristics of Small Ships. Acta Acoustica United with Acustica, vol. 88 pp. 718-721, 2002.
• 3. S. Haykin, Self-organizing maps, Neural networks - A comprehensive foundation, 2nd edition, Prentice-Hall, 1999.
• 4. T. Kohonen, Self-Organizing Maps, Third, extended edition. Springer, 2001
• 5. S. Osowski, Neural Networks, Publishing House of Warsaw University of Technology, 1996.
• 6. K. Stąpor, Automatic object classification, Publishing House EXIT 2005.
• 7. R. J. Urick, Principles of Underwater Sounds, McGraw-Hill, New York 1975.
• 8. A. Żak, Creating patterns for hydroacoustics signals, Hydroacoustics Vol. 8, pp. 265- 270, Gdynia 2005.
• 9. A. Żak, Ship classification basing on hydroacoustic signals, Polish Naval Academy Research Journal, no 169 K/1 year XLVIII, pp. 417-424, Gdynia 2007.
• 10. A. Żak, Ships Classification Using Hydroacoustic Signatures, Proceedings of the 6th WSEAS Internatiuonal Conference on Computational Inteligence, Man-Machine Sytsems and Cybernetics, pp. 111-115, Spain 2007.