2022
DOI: 10.3740/mrsk.2022.32.3.161
|View full text |Cite
|
Sign up to set email alerts
|

Microstructure and Mechanical Properties of Cold Roll-Bonded Layered AA6061/AA5052/AA6061/AA5052 Aluminum Alloy Sheet

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…Te rate at which a network learns is another crucial variable that must be considered during deployment. Authors [25] discussed that a low value for this parameter results in slow network convergence, which slows down the time it takes to obtain the desired response. In that case, there is a risk that the training process may become unstable, increasing the amount of inaccuracy in the response from cycle to cycle.…”
Section: Implementation Of the Neural Networkmentioning
confidence: 99%
“…Te rate at which a network learns is another crucial variable that must be considered during deployment. Authors [25] discussed that a low value for this parameter results in slow network convergence, which slows down the time it takes to obtain the desired response. In that case, there is a risk that the training process may become unstable, increasing the amount of inaccuracy in the response from cycle to cycle.…”
Section: Implementation Of the Neural Networkmentioning
confidence: 99%