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Parallel-hierarchical network as the model of neurocomputing
Conference proceeding

Parallel-hierarchical network as the model of neurocomputing

Mohammed Al-Maitah, Leonid I. Timchenko, Natalia I. Kokriatskaia, Svitlana V. Nakonechna, Dmytro S. Stepaniuk, Zaklin M. Gradz and Aigul Syzdykpayeva
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2018, Vol.10808, pp.108082O-108082O-11
Proceedings of SPIE
01/01/2018

Abstract

Optics Physical Sciences Science & Technology
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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