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Neural Network Design without Learning

  • E. Dudek-Dyduch
  • Z. Gomółka
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

The paper deals with homogeneous neural networks of the feed-forward type. Contrary to the classical learning methods, the authors present a theoretical approach to a new method of neural network design. As an example, the designing of the neural network for ridges detection in interferometry images has been presented. To ensure the correctness of theoretical considerations, several results of experiments obtained with real images have been presented as well.

Keywords

Neural Network Soft Computing Neural Network Design Object Recognition System Hierarchical Neural Network 
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

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • E. Dudek-Dyduch
    • 1
  • Z. Gomółka
    • 2
  1. 1.University of Mining and Metallurgy CracowKrakówPoland
  2. 2.Institute of TechnologyRzeszów UniversityRzeszówPoland

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