Incremental neuro-fuzzy classifiers of seabed using wavelet decomposition

• Autorzy: Dung T. V. , Stepnowski A. , Moszyński M.
• Konferencja: 17 th Symposium on Hydroacoustics (23-26.05.2000; Jurata; Polska)
• Języki publikacji: EN

Abstrakty

EN

The neuro-fuzzy classifier of seabed type from acoustic echoes was investigated in the context of possible reducing the number of input parameters. The incremental architecture of fuzzy neural network classifier (IFNN) was used in the experiment, utilising dual-frequency echo collection. In particular, the wavelet decomposition of these bottom echoes was used to generate input parameters of IFNN. The Principal Component Analysis (PCA) was subsequently applied for redundant parameters reduction.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2000
• Tom: Vol. 3
• Strony: 19--24
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Dung T. V.

• Technical University of Gdańsk, Department of Remote Sensing and Monitoring Systems, Gdańsk, Poland

autor

Stepnowski A.

• Technical University of Gdańsk, Department of Remote Sensing and Monitoring Systems, Gdańsk, Poland

autor

Moszyński M.

• Technical University of Gdańsk, Department of Remote Sensing and Monitoring Systems, Gdańsk, Poland

Bibliografia

• [1] Stepnowski A., Maciołowska J., Dung T. V Bottom type identification using combined neuro-fuzzy classifier operating on multi-frequency data, Archives of Acoustics, 24, 3, 365-378 (1999).
• [2] Dung T. V., Maciołowska J., Stepnowski A., Sea Bottom Typing Using Neuro-Fuzzy Classifier Operating on Multi-Frequency Data, Proceedings of the 2 nd EAA International Symposium on Hydroacoustics, Gdańsk-Jurata, 79-84 (1999).
• [3] Jang 1. S. R., Sun C. T., Mizutani E., Neuro-Fuzzy and Soft Computing - A Computational Approach to Learning and Machine Intelligence, Prentice-Hall International, Inc. 1997.
• [4] C. K. Chui ed., Wavelet: A Tutorial in Theory and Applications, Academic Press 1992.
• [5] M. Moszyński, Wavelet decomposition in target strength estimation, Proceeding ofthe 4 th European Conference on Underwater Acoustics, Rome, 205-210 (1998).
• [6] Simpkin P. G., Collins W. T., Results from the use of broad-band, sub-bottom seismic data with statistically based sediment classification techniques, Proceedings of High Frequency Acoustics in shallow Water, Lerici, Italy, 493-500 (1997).