Fracture estimation based on deformation history with recurrent neural networks
author
Yatkin, Muhammed Adil
Kõrgesaar, Mihkel
statement of authorship
Muhammed Adil Yatkin, Mihkel Kõrgesaar
source
2023 International Conference on Machine Learning and Applications (ICMLA) : proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2023
pages
p. 1025-1030
conference name, date
22nd IEEE International Conference on Machine Learning and Applications, 15-17 December 2023
conference location
Jacksonville, Florida, USA
url
https://doi.org/10.1109/ICMLA58977.2023.00152
subject term
bioloogilised närvivõrgud
koormus (tehnika)
luumurrud
metallid
deformatsioon
keyword
non-proportional loading
fracture modelling
localization in sheet metal
history learning
recurrent neural networks (RNN)
ISBN
979-8-3503-4534-6
notes
Bibliogr.: 14 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Kuressaare kolledž
language
inglise
Reserch Group
Marine technology and hydrodynamics