Share Email Print
cover

Proceedings Paper

Self-training 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
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 6 April 1995
PDF: 3 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205174
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. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

© SPIE. Terms of Use
Back to Top