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Neural Classifier for Bottom Sediments

  • Dariusz Szulc
  • Mariusz Wąż
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

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.

Keywords

Neural Network Bottom Sediment Sediment Layer Multilayer Perceptron Bottom Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Korbicz J., Obuchowicz A., Ucifiski D. (1994), Artificial Neural Networks. Basics and Applications RM Academic Publishing House, Warsaw (In Polish)Google Scholar
  2. [2]
    Osowski S. (1996), Neural Networks in Algorithmic Expression, WNT, Warsaw (In Polish)Google Scholar
  3. [3]
    Tadeusiewicz R. (1993), Neural Networks, RM Academic Publishing House, Warsaw (In Polish)Google Scholar
  4. [4]
    Watkins C. D., Sadun A., Marenka S. (1995), Modern Methods of Picture Transformation, WNT, Warsaw (In Polish)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Dariusz Szulc
    • 1
  • Mariusz Wąż
    • 1
  1. 1.Naval University of GdyniaGdyniaPoland

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