Neural-fuzzy machine learning approach for the fatigue-creep reliability modeling of SAC305 solder joints
Crossref DOI link: https://doi.org/10.1038/s41598-023-32460-4
Published Online: 2023-05-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bani Hani, Dania
Al Athamneh, Raed
Abueed, Mohammed
Hamasha, Sa’d
Text and Data Mining valid from 2023-05-26
Version of Record valid from 2023-05-26
Article History
Received: 19 December 2022
Accepted: 28 March 2023
First Online: 26 May 2023
Competing interests
: The authors declare no competing interests.