Self-training 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:10.1117/12.205174

6 April 1995 Self-training 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 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205174
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

In this paper we present 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 "Self-training neural network model for tomography data processing", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205174

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