|START||NEW VOL 20||SEARCH||STATISTICS||PAS - GDANSK DIVISION|
pp. 125-130, vol. 1, 1997
Acoustics Department, Technical University of Gdańsk, Gdańsk, Poland
Abstract: This paper presents a test of three following classifiers: minimum-distance classifier, feed-forward neural network with backpropagation learning scheme and neuro-fuzzy classifier based on NEFCLASS architecture. They have been applied to the sea bottom type classification task over different input spaces. The experiment proved high efficiency of the minimum-distance classifier and the neural network, NEFCLASS performance had been rather poor. Generalization properties of those classifiers are also investigated. Additional conclusions concerning classifiers topology are 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)