Neural network approach to numeric array sorting

Tatiana B. Martyniuk; Andrii V. Kozhemiako; Leonid M. Kupershtein; Victor V. Khomyuk; Mohamed Salem Nasser Mohamed; Andrzej Smolarz; Ainur Kozbakova

doi:10.1117/12.2535916

6 November 2019 Neural network approach to numeric array sorting

Tatiana B. Martyniuk, Andrii V. Kozhemiako, Leonid M. Kupershtein, Victor V. Khomyuk, Mohamed Salem Nasser Mohamed, Andrzej Smolarz, Ainur Kozbakova

Author Affiliations +

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111761N (2019) https://doi.org/10.1117/12.2535916
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

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.

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Tatiana B. Martyniuk, Andrii V. Kozhemiako, Leonid M. Kupershtein, Victor V. Khomyuk, Mohamed Salem Nasser Mohamed, Andrzej Smolarz, and Ainur Kozbakova "Neural network approach to numeric array sorting", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761N (6 November 2019); https://doi.org/10.1117/12.2535916

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