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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et 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 juin 2024
À propos de cet article
Publié en ligne: 11 juin 2024
Pages: 267 - 282
Reçu: 09 janv. 2024
Accepté: 26 mai 2024
DOI: https://doi.org/10.2478/jaiscr-2024-0015
Mots clés
© 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