HYDROACOUSTICS
ANNUAL JOURNAL
START NEW VOL 20 SEARCH STATISTICS PAS - GDANSK DIVISION

Kohonen networks as hydroacoustic signals classifier

pp. 17-24, vol. 10, 2007

Andrzej ┼╗ak
Naval University of Gdynia, Gdynia, Poland

Key words:

Abstract: 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.

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