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JOURNALS // Problemy Upravleniya // Archive

Probl. Upr., 2011 Issue 4, Pages 5–12 (Mi pu658)

Application of neural networks complexes in the distributed fiber-optical measuring systems

Yu. N. Kulchin, E. V. Zakasovskaya

Institute for Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok

Abstract: The paper discusses tomography reconstruction of distributed physical field parameters by means of distributed fiber optical measuring systems for incomplete parallel schemes of measuring lines stacking. The presented approach consists in geometry optimization of a measuring network for the purpose of further application of neural networks complexes for direct restoration of physical fields' functions and for synthesis of projective data.

Keywords: distributed fiber-optic measuring system, schemes of measuring lines stacking, parallel beam tomography, radial basis function neural network.

UDC: 53.089.4



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