Structural-functional model of a parallel-hierarchical optical network as a systematic tool for artificial intelligence methods

Leonid Tymchenko; Natalia Kokriatska; Volodymyr Tverdomed; Sergii Pavlov; Zlata Bondarenko; Anna Vitiuk; Yurii Didenko; Liudmyla Semenova; Dmytro Zhuk; Daniel Sawicki; Yedilkhan Amirgaliyev; Saule Smailova

doi:10.1117/12.3023445

20 December 2023 Structural-functional model of a parallel-hierarchical optical network as a systematic tool for artificial intelligence methods

Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Sergii Pavlov, Zlata Bondarenko, Anna Vitiuk, Yurii Didenko, Liudmyla Semenova, Dmytro Zhuk, Daniel Sawicki, Yedilkhan Amirgaliyev, Saule Smailova

Author Affiliations +

Proceedings Volume 12985, Optical Fibers and Their Applications 2023; 129850H (2023) https://doi.org/10.1117/12.3023445
Event: Optical Fibers and Their Applications 2023, 2023, Lublin, Poland

Abstract

The article discusses the challenges of real-time data processing and analyzes various methods used to solve them, with a focus on image processing. It points out the limitations of existing methods and argues for the need to use more effective and modern technologies, proposing parallel-hierarchical networks as a promising solution. The article provides a detailed description of the structural-functional model of this type of network, which involves cyclically transforming the input data matrix using a "common part" criterion and an array evolution operator until a set of individual elements is formed. The proposed model is expected to improve real-time image recognition and can potentially be applied to other fields by using the "common part" criterion.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Sergii Pavlov, Zlata Bondarenko, Anna Vitiuk, Yurii Didenko, Liudmyla Semenova, Dmytro Zhuk, Daniel Sawicki, Yedilkhan Amirgaliyev, and Saule Smailova "Structural-functional model of a parallel-hierarchical optical network as a systematic tool for artificial intelligence methods", Proc. SPIE 12985, Optical Fibers and Their Applications 2023, 129850H (20 December 2023); https://doi.org/10.1117/12.3023445

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available