Parallel-hierarchical network as the model of neurocomputing

Mohammed Al-Maitah; Leonid I. Timchenko; Natalia I. Kokriatskaia; Svitlana V. Nakonechna; Dmytro S. Stepaniuk; Żaklin M. Grądz; Aigul Syzdykpayeva

doi:10.1117/12.2501622

1 October 2018 Parallel-hierarchical network as the model of neurocomputing

Mohammed Al-Maitah, Leonid I. Timchenko, Natalia I. Kokriatskaia, Svitlana V. Nakonechna, Dmytro S. Stepaniuk, Żaklin M. Grądz, Aigul Syzdykpayeva

Author Affiliations +

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108082O (2018) https://doi.org/10.1117/12.2501622
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

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.

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Mohammed Al-Maitah, Leonid I. Timchenko, Natalia I. Kokriatskaia, Svitlana V. Nakonechna, Dmytro S. Stepaniuk, Żaklin M. Grądz, and Aigul Syzdykpayeva "Parallel-hierarchical network as the model of neurocomputing ", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108082O (1 October 2018); https://doi.org/10.1117/12.2501622

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