Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm
Crossref DOI link: https://doi.org/10.1007/s13369-020-04625-0
Published Online: 2020-06-04
Published Print: 2020-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hazir, Ender http://orcid.org/0000-0002-8998-4450
Ozcan, Tuncay
Koç, Küçük Hüseyin
Text and Data Mining valid from 2020-06-04
Version of Record valid from 2020-06-04
Article History
Received: 15 November 2019
Accepted: 10 May 2020
First Online: 4 June 2020
Compliance with Ethical Standards
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.