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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Cierniak, R., Smoląg, J. (2003). A Systolic Realisation of the Neuro-Tomograph. 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_70
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_70
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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