Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
THE IMAGES ANALYSIS OF HYDRODYNAMIC FLOW ON SELF-ORGANIZING KOHONEN MAPS
Abstract:

Realization of intelligent imaging procedures for the analysis of images of hydrodynamic flow in the CAD systems of complex elements of transportation is based on a neural network approach based on self-organizing Kohonen maps.

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References

1. Idelchik I.E. Handbook of hydraulic resistance / Ed. M. O Steinberg. 3-rd ed. – Moscow: Mashinostroenie, 1992. – 672 p.[in Russian].

2. Arsiry V. A. Improving the efficiency of equipment using FST-technology / V.A Arsiry // Labors of the Odessa National Polytechnic University – Odessa: – 2003. – V.2. – P. 187-191[in Russian].

3. Data mining for complex simulation to improve reliability of power equipment / E. A Arsiriy, S. G. Antoschuk, V. A Arsiry, V. I. Kravchenko // Radio electronic and computer systems.–2012. – № 6(58). – P.89–94 [in Russian].

4. Kohonen T. Self-organizing maps / T. Kohonen; trans. 3-rd Eng. ed. – Moscow: BINOM Knowledge Laboratory, 2008. – 655 p. [in Russian].

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2017-11-17 01:49:00

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