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Neural Classifier for Bottom Sediments

  • Conference paper
Neural Networks and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

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Summary

The article presents the application of neural networks for classification of bottom sediments by means of broadband analysis of hydroacoustical signals. The results of detection of five classes of sediments using a multilayer perceptron with back-propagation have been described below.

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References

  1. Korbicz J., Obuchowicz A., Ucifiski D. (1994), Artificial Neural Networks. Basics and Applications RM Academic Publishing House, Warsaw (In Polish)

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  2. Osowski S. (1996), Neural Networks in Algorithmic Expression, WNT, Warsaw (In Polish)

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  3. Tadeusiewicz R. (1993), Neural Networks, RM Academic Publishing House, Warsaw (In Polish)

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Author information

Authors and Affiliations

  1. Naval University of Gdynia, 69 Śmidowicza Str., 81-103, Gdynia, Poland

    Dariusz Szulc & Mariusz Wąż

Authors
  1. Dariusz Szulc
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  2. Mariusz Wąż
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2003 Springer-Verlag Berlin Heidelberg

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Szulc, D., Wąż, M. (2003). Neural Classifier for Bottom Sediments. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_141

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  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_141

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

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