Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning-Reference-Cited by-同舟云学术

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Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning

Published:2024-11 Issue: Volume:304 Page:113014
ISSN:0020-7683
Container-title:International Journal of Solids and Structures
language:en
Short-container-title:International Journal of Solids and Structures

Author:

Lobato Héctor^ORCID,Cernuda Carlos^ORCID,Zulueta Kepa^ORCID,Arriaga Aitor^ORCID,Matxain Jon M.^ORCID,Burgoa Aizeti

Publisher

Elsevier BV

Reference60 articles.

1. Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science;Agrawal;APL Mater.,2016

2. ISO 899-1, ISO;Anon,2017

3. CAMPUS®;Anon,2024

4. Contents of CAMPUS\protect \relax \special {t4ht=®};Anon,2024

5. Random search for hyper-parameter optimization;Bergstra,2012

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