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Neural network approach to numeric array sorting
Author(s): Tatiana B. Martyniuk; Andrii V. Kozhemiako; Leonid M. Kupershtein; Victor V. Khomyuk; Mohamed Salem Nasser Mohamed; Andrzej Smolarz; Ainur Kozbakova
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Paper Abstract

The functioning of a sorting network based on self-learning and self-setting of a ranks vector is considered. Sorting method by paired exchange is used with inserting of ranks vector as the elements weights vector of the input array, which allows considering an offered sorting network as a sorting neural network model.

Paper Details

Date Published: 6 November 2019
PDF: 5 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761N (6 November 2019); doi: 10.1117/12.2535916
Show Author Affiliations
Tatiana B. Martyniuk, Vinnytsia National Technical Univ. (Ukraine)
Andrii V. Kozhemiako, Vinnytsia National Technical Univ. (Ukraine)
Leonid M. Kupershtein, Vinnytsia National Technical Univ. (Ukraine)
Victor V. Khomyuk, Vinnytsia National Technical Univ. (Ukraine)
Mohamed Salem Nasser Mohamed, Vinnytsia National Technical Univ. (Ukraine)
Andrzej Smolarz, Lublin Univ. of Technology (Poland)
Ainur Kozbakova, Institute of Information and Computational Technologies (Kazakhstan)
Almaty Univ. of Power Engineering and Telecommunications (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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