Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Discrete Random Signals and Statistical Signal Processing
Discrete Random Signals and Statistical Signal Processing
Self-Organizing Maps
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Kohonen networks as hydroacoustic signatures classifier
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
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The paper presents the method of Self-Organizing Maps used as classifier of hydroacoustic signals generated 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 were presented.