Kohonen networks as hydroacoustic signals classifier

• Autorzy: Żak A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the method of neural network used as classifier of hydroacoustic signals made by moving ship. The main task of proposed solution is to classify the objects which made the underwater noises. From the technique of neural network the Kohonen networks which belongs to group of self organizing networks where chosen to solve the research problem. Hydroacoustic signals were acquired on the hydroacoustic range during the complex ship measurement. At the end the results of classification of underwater noises made by ship where presented.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2007
• Tom: Vol. 10
• Strony: 17--24
• Opis fizyczny: Bibliogr. 5 poz., rys.

Twórcy

autor

Żak A.

• Naval University of Gdynia Smidowicz 69, 81-103 Gdynia,

Bibliografia

• [1] J.C. Fort, SOM’s mathematics, Neural Networks, 19: 812–816, 2006.
• [2] S. Haykin, Self-organizing maps, Neural networks - A comprehensive foundation, 2nd edition, Prentice-Hall, 1999.
• [3] T. Kohonen, Self-organized formation of topologically correct feature maps, Biological Cybernetics, 43:59-69, 1982.
• [4] T. Kohonen, Self-Organizing Maps, Third, extended edition. Springer, 2001.
• [5] S. Osowski, Sieci neuronowe, Oficyna Wydawnicza Politechniki Warszawskiej, 1996.