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A Systolic Realisation of the Neuro-Tomograph

  • Robert Cierniak
  • Jacek Smoląg
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Summary

This paper shows a systolic realization of the neural network structure used to solve the problem of the image reconstruction from projections. The theoretical analysis of the advantage of the systolic structure comparing with the sequential realization of the neural network is presented.

Keywords

Neural Network Neural Network Structure Apply Neural Network Complex Neural Network Unsupervised 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

  • Robert Cierniak
    • 1
  • Jacek Smoląg
    • 1
  1. 1.Technical University of CzęstochowaCzestochowaPoland

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