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

Artifical neural networks as frequency filters

pp. 259-264, vol. 7, 2004

Andrzej Żak
Naval University of Gdynia, Gdynia, Poland

Key words:

Abstract: This paper presents an artificial neural networks as a tool for creating frequency filters for hydroacoustic signal processing. In the first part of article the basis of neural network theory was presented, next the concrete solution applied to building filter was introduced. On the end of the article the results of working neural frequency filter for example hydroacoustics’ signals were presented.

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© Polish Acoustical Society - Gdansk Department, Polish Academy of Sciences. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported. (CC BY-NC-SA 3.0)