Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation
DOI | Resolve DOI: https://doi.org/10.1109/IJCNN.2017.7966095 |
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Author | Search for: Valdés, Julio J.1; Search for: Cheung, Catherine2; Search for: Rubio, Alejandro Lehman2 |
Name affiliation |
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Format | Text, Article |
Proceedings title | 2017 International Joint Conference on Neural Networks (IJCNN) |
Series title | Proceedings of International Joint Conference on Neural Networks |
Conference | International Joint Conference on Neural Networks (IJCNN), 14-19 May 2017, Anchorage, AK, USA |
ISSN | 9781509061822 1509061827 2161-4393 2161-4407 |
Pages | 1991–1998 |
Abstract | |
Publication date | 2017-07-03 |
Publisher | IEEE |
Language | English |
Peer reviewed | Yes |
NPARC number | 23002240 |
Export citation | Export as RIS |
Report a correction | Report a correction | Record identifier | 27a61e7d-ef4d-47d9-81b8-04fe8bc15f4d |
Record created | 2017-09-13 |
Record modified | 2020-03-16 |