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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e 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 giu 2024
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 11 giu 2024
Pagine: 267 - 282
Ricevuto: 09 gen 2024
Accettato: 26 mag 2024
DOI: https://doi.org/10.2478/jaiscr-2024-0015
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© 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