New methods of underwater ship noise classification

• Autorzy: Kozaczka E. , Kozaczka S.
• Języki publikacji: EN

Abstrakty

EN

The detection, classification, identification and recognition ships noise features have been of the highest importance for scientific and also defense interest. A big effort is made in the passive sonar technologies that allow applying underwater noise for practical purpose. Results are presented which demonstrate the ability of the network to classify man made sources as are underwater ships noise. The paper presents a method based mainly on neural network that is very helpful for classification of these types of sources on the way to recognizing them.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2006
• Tom: Vol. 9
• Strony: 85--88
• Opis fizyczny: Bibliogr. 2 poz., rys., tab.

Twórcy

autor

Kozaczka E.

autor

Kozaczka S.

• Gdansk University of Technology Narutowicza 11/12, 80-952 Gdansk, Poland,

Bibliografia

• [1] B.P. Howell, S. Wood, S. Koksal, Passive Sonar Recognition and Analysis Using Hybrid Neural Networks” Florida Institute of Technology, 1997
• [2] T. Masters, Sieci neuronowe w praktyce, 1996