Comparison of selected classifiers in a sea-bottom recognition task

• Autorzy: Komendarczyk R.
• Konferencja: International Symposium on HYDROACOUSTICS AND ULTRASONICS EAA Symposium (formerly 13th FASE Symposium) Gdańsk-Jurata, 12-16 May 1997
• Języki publikacji: EN

Abstrakty

EN

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.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 1997
• Tom: Vol. 1
• Strony: 125--130
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Komendarczyk R.

• Acoustics Department, Technical University of Gdańsk 80 - 952 Gdańsk ul. Narutowicza 11/12 Poland

Bibliografia

• 1. Bakiera D., Stepnowski A., 1996, Method of the sea bottom classification with a division of the first echo signal, Proceedings of the XIIIth Symposium on Hydroacoustics, Gdynia-Jurata, 55-60.
• 2. Chivers R. C., 1994, Acoustical Sea-Bed Characterization, XIth Symposium on Hydroacoustics, Jurata.
• 3. Hastings H. M., Sugihara G., 1994, FractaIs. A user's guide for the natural sciences, Oxford University Press, Oxford, New York, Tokyo.
• 4. Hertz J., Krogh K., Palmer R. G. 1995: Wstęp do teorii obliczeń neuronowych, WT, Warszawa
• 5. Koiran P., Sontag, E. D. 1994 Neural Networks with Quadratic VC Dimension.
• 6. Korbicz J., Obuchowicz A.,Uciński D. 1994, Sztuczne sieci neuronowe AOF, Poznań.
• 7. Nauck D., Klawonn F., 1996 Neuro-fuzzy classification initialized by fuzzy clustering, Proc. Fourth European Congress on InteIligent Techniques and Soft Computing (EUFIT96) Aachen.
• 8. Nauck D. and Kruse R. 1995 NEFCLASS - A neuro - fuzzy approach for the classification of data, Symposium on Applied Computing, Nashville.
• 9. Pouliquen E., Lurton X., 1992, Sea-bed identification using echo sounder signal, European Conference on Underwater Acoustics, Elsevier Applied Science, London and New York, 535.