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Proceedings Paper

Concepts of the neural network model for tomography data processing
Author(s): Yuri N. Kulchin; Oleg B. Vitrik; Oleg T. Kamenev; Oleg V. Kirichenko; Yuri S. Petrov; Oleg G. Maksayev
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Paper Abstract

In this paper we present a self-training two-layer neural network model for tomography data processing. This model allows us to reconstruct physical field parameters distribution by use of tomography integral data.

Paper Details

Date Published: 10 November 1995
PDF: 3 pages
Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); doi: 10.1117/12.226688
Show Author Affiliations
Yuri N. Kulchin, Far Eastern State Technical Univ. (Russia)
Oleg B. Vitrik, Far Eastern State Technical Univ. (Russia)
Oleg T. Kamenev, Far Eastern State Technical Univ. (Russia)
Oleg V. Kirichenko, Far Eastern State Technical Univ. (Russia)
Yuri S. Petrov, Far Eastern State Technical Univ. (Russia)
Oleg G. Maksayev, Far Eastern State Technical Univ. (Russia)


Published in SPIE Proceedings Vol. 2647:
International Conference on Holography and Correlation Optics
Oleg V. Angelsky, Editor(s)

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