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Exploring various sequential learning methods for deformation history modeling

author
Yatkin, Muhammed Adil
Kõrgesaar, Mihkel
Romanoff, Jani
Stuckner, Joshua
Islak, Umit
Kurban, Hasan
statement of authorship
Muhammed Adil Yatkin, Mihkel Korgesaar, Jani Romanoff, Joshua Stuckner, Ümit Işlak, Hasan Kurban
source
Engineering Applications of Neural Networks : 26th International Conference, EANN 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings ; Part I
location of publication
Cham
publisher
Springer
year of publication
2025
pages
p. 168-180
series
Communications in computer and information science ; 2581
conference name, date
26th International Conference, EANN 2025, June 26–29, 2025
conference location
Limassol, Cyprus
url
https://doi.org/10.1007/978-3-031-96196-0_13
subject term
tehisnärvivõrgud
tehisõpe
kompuutermodelleerimine
keyword
sequential learning
recurrent neural networks (RNNs)
localization in sheet metal
surrogate modelling
ISSN
1865-0929
1865-0937
ISBN
978-3-031-96195-3
978-3-031-96196-0
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Kuressaare kolledž
language
Inglise
Yatkin, M. A., Kõrgesaar, M., Romanoff, J., Stuckner, J., Islak, U., Kurban, H. Exploring various sequential learning methods for deformation history modeling // Engineering Applications of Neural Networks : 26th International Conference, EANN 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings ; Part I. Cham : Springer, 2025. p. 168-180. (Communications in computer and information science ; 2581). https://doi.org/10.1007/978-3-031-96196-0_13