Name
Title | ||
|---|---|---|
Machine Learning for Evaluating the Impact of Manufacturing Process Variations in High-Speed Interconnects |
Abstract | ||
|---|---|---|
This paper presents a machine learning based modeling methodology to analyze the impact of high-volume manufacturing process variations on electrical performance of high-speed interconnects, that overcomes the limitations of traditional approaches. The proposed methodology outperforms the response surface based modeling for high-speed interconnects and is capable of handling highly nonlinear relat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISQED51717.2021.9424359 | 2021 22nd International Symposium on Quality Electronic Design (ISQED) |
Keywords | DocType | ISSN |
Measurement,Analytical models,Manufacturing processes,Machine learning algorithms,Computational modeling,Machine learning,Data models | Conference | 1948-3287 |
ISBN | Citations | PageRank |
978-1-7281-7641-3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cemil S. Geyik | 1 | 0 | 0.34 |
| Zhichao Zhang | 2 | 21 | 8.03 |
| Kemal Aygün | 3 | 0 | 0.34 |
| James T. Aberle | 4 | 0 | 0.34 |