Journal article 257 views
A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems
Yingyi Sun,
Jianmin Cao,
Chunxu Li 
Journal of the Operational Research Society, Volume: 74, Issue: 6, Pages: 1443 - 1461
Swansea University Author:
Chunxu Li
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1080/01605682.2022.2096501
Abstract
A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems
| Published in: | Journal of the Operational Research Society |
|---|---|
| ISSN: | 0160-5682 1476-9360 |
| Published: |
Informa UK Limited
2023
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65992 |
| Keywords: |
Noise-suppressing neural algorithm; time-varying quadratic programming; nonconvex activation function; economic model; online solution |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
The work is supported in part by the National Natural Science Foundation of China under grant nos. 71273110 and 71303103, and also in part by the Consulting Project of Chinese Academy of Engineering under grant No. 2016-XY-02 and also in part by the Key Science and Technology Projects of Jilin Province, China, under grant no. 20190302025GX. |
| Issue: |
6 |
| Start Page: |
1443 |
| End Page: |
1461 |