A topological approach to enhancing consistency in machine learning via recurrent neural networks
author
Yatkin, Muhammed Adil
Kõrgesaar, Mihkel
Islak, Umit
statement of authorship
Muhammed Adil Yatkin, Mihkel Kõrgesaar and Ümit Işlak
source
Applied sciences
special issue
Deformation and Fracture Behaviors of Materials
publisher
MDPI
journal volume number month
vol. 15, 2
year of publication
2025
pages
art. 933
url
https://doi.org/10.3390/app15020933
subject term
tehisnärvivõrgud
deformatsioon
tehisõpe
jadad
kompuutermodelleerimine
keyword
consistency
forming limit curves (FLCs)
recurrent neural networks (RNNs)
sequence to sequence learning
surrogate modelling
ISSN
2076-3417
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/pages/publications/85215694420?origin=resultslist
TalTech department
Kuressaare kolledž
Kuressaare College
language
English
Inglise