Parallel-hierarchical network as the model of neurocomputing

被引：3

作者：

Al-Maitah, Mohammed ^{[1
]}

Timchenko, Leonid I. ^{[2
]}

Kokriatskaia, Natalia I. ^{[2
]}

Nakonechna, Svitlana V. ^{[2
]}

Stepaniuk, Dmytro S. ^{[2
]}

Gradz, Zaklin M. ^{[3
]}

Syzdykpayeva, Aigul ^{[4
]}

机构：

[1] King Saud Univ, Riyadh 11451, Saudi Arabia

[2] State Univ Infrastruct & Technol, 14 Pankovskaya, Kiev, Ukraine

[3] Lublin Univ Technol, 38 A Nadbystrzycka, PL-20618 Lublin, Poland

[4] Sarsen Amanzholov East Kazakhstan State Univ, Ust Kamenogorsk 070004 55, Kazakhstan

来源：

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2018 | 2018年 / 10808卷

关键词：

parallel-hierarchical transform (network); neural typical scheme of information processing; pyramidal processing; parallel-hierarchical processing; dynamical multifunctionality; optoelectronics;

D O I：

10.1117/12.2501622

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：11

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