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Proceedings Paper

Parallel-hierarchical network as the model of neurocomputing
Author(s): Mohammed Al-Maitah; Leonid I. Timchenko; Natalia I. Kokriatskaia; Svitlana V. Nakonechna; Dmytro S. Stepaniuk; Żaklin M. Grądz; Aigul Syzdykpayeva
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Paper Abstract

In this paper considers methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another.

Paper Details

Date Published: 1 October 2018
PDF: 11 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108082O (1 October 2018); doi: 10.1117/12.2501622
Show Author Affiliations
Mohammed Al-Maitah, King Saud Univ. (Saudi Arabia)
Leonid I. Timchenko, State Univ. of Infrastructure and Technologies (Ukraine)
Natalia I. Kokriatskaia, State Univ. of Infrastructure and Technologies (Ukraine)
Svitlana V. Nakonechna, State Univ. of Infrastructure and Technologies (Ukraine)
Dmytro S. Stepaniuk, State Univ. of Infrastructure and Technologies (Ukraine)
Żaklin M. Grądz, Lublin Univ. of Technology (Poland)
Aigul Syzdykpayeva, Sarsen Amanzholov East Kazakhstan State Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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