Concepts of the neural network model for tomography data processing

Yuri N. Kulchin; Oleg B. Vitrik; Oleg T. Kamenev; Oleg V. Kirichenko; Yuri S. Petrov; Oleg G. Maksayev

doi:10.1117/12.226688

10 November 1995 Concepts of the neural network model for tomography data processing

Yuri N. Kulchin, Oleg B. Vitrik, Oleg T. Kamenev, Oleg V. Kirichenko, Yuri S. Petrov, Oleg G. Maksayev

Proceedings Volume 2647, International Conference on Holography and Correlation Optics; (1995) https://doi.org/10.1117/12.226688
Event: International Conference on Holography and Correlation Optics, 1995, Chernivsti, Ukraine

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.

Citation Download Citation

Yuri N. Kulchin, Oleg B. Vitrik, Oleg T. Kamenev, Oleg V. Kirichenko, Yuri S. Petrov, and Oleg G. Maksayev "Concepts of the neural network model for tomography data processing", Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); https://doi.org/10.1117/12.226688

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