Optimizing the Structures of Transformer Neural Networks Using Parallel Simulated Annealing
Maciej Trzciński
- AGH University of Krakow, Faculty of Physics and Applied Computer SciencePoland
- NASK National Research InstituteWarsaw, Poland
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, Szymon Łukasik
- AGH University of Krakow, Faculty of Physics and Applied Computer SciencePoland
- NASK National Research InstituteWarsaw, Poland
- Systems Research Institute, Polish Academy of SciencesWarsaw, Poland
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oraz Amir H. Gandomi
- University of Technology Sydney, Faculty of Engineering and Information TechnologyAustralia
- University Research and Innovation Center (EKIK), Óbuda UniversityBudapest, Hungary
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11 cze 2024
O artykule
Data publikacji: 11 cze 2024
Zakres stron: 267 - 282
Otrzymano: 09 sty 2024
Przyjęty: 26 maj 2024
DOI: https://doi.org/10.2478/jaiscr-2024-0015
Słowa kluczowe
© 2024 Maciej Trzciński et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Trzciński, Maciej
AGH University of Krakow, Faculty of Physics and Applied Computer SciencePoland
NASK National Research InstituteWarsaw, Poland
Łukasik, Szymon
AGH University of Krakow, Faculty of Physics and Applied Computer SciencePoland
NASK National Research InstituteWarsaw, Poland
Systems Research Institute, Polish Academy of SciencesWarsaw, Poland
Gandomi, Amir H.
University of Technology Sydney, Faculty of Engineering and Information TechnologyAustralia
University Research and Innovation Center (EKIK), Óbuda UniversityBudapest, Hungary