Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-2756Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hu, Yang | - |
| dc.contributor.author | Palmé, Thomas | - |
| dc.contributor.author | Fink, Olga | - |
| dc.date.accessioned | 2018-12-18T15:23:47Z | - |
| dc.date.available | 2018-12-18T15:23:47Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.isbn | 978-1-936263-22-6 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/13948 | - |
| dc.language.iso | en | de_CH |
| dc.publisher | PMH Society | de_CH |
| dc.rights | http://creativecommons.org/licenses/by/3.0/ | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.subject.ddc | 610: Medizin und Gesundheit | de_CH |
| dc.title | Deep health indicator extraction : a method based on auto-encoders and extreme learning machines | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Datenanalyse und Prozessdesign (IDP) | de_CH |
| dc.identifier.doi | 10.21256/zhaw-2756 | - |
| zhaw.conference.details | PHM 2016, Denver, USA , 3-6 October 2016 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 452 | de_CH |
| zhaw.pages.start | 446 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016 | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2016_Hu_Deep_health_indicator_extraction_phmc_2016.pdf | 697.05 kB | Adobe PDF |  View/Open |
Show simple item record
Hu, Y., Palmé, T., & Fink, O. (2016). Deep health indicator extraction : a method based on auto-encoders and extreme learning machines [Conference paper]. PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016, 446–452. https://doi.org/10.21256/zhaw-2756
Hu, Y., Palmé, T. and Fink, O. (2016) ‘Deep health indicator extraction : a method based on auto-encoders and extreme learning machines’, in PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016. PMH Society, pp. 446–452. Available at: https://doi.org/10.21256/zhaw-2756.
Y. Hu, T. Palmé, and O. Fink, “Deep health indicator extraction : a method based on auto-encoders and extreme learning machines,” in PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016, 2016, pp. 446–452. doi: 10.21256/zhaw-2756.
HU, Yang, Thomas PALMÉ und Olga FINK, 2016. Deep health indicator extraction : a method based on auto-encoders and extreme learning machines. In: PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016. Conference paper. PMH Society. 2016. S. 446–452. ISBN 978-1-936263-22-6
Hu, Yang, Thomas Palmé, and Olga Fink. 2016. “Deep Health Indicator Extraction : A Method Based on Auto-Encoders and Extreme Learning Machines.” Conference paper. In PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016, 446–52. PMH Society. https://doi.org/10.21256/zhaw-2756.
Hu, Yang, et al. “Deep Health Indicator Extraction : A Method Based on Auto-Encoders and Extreme Learning Machines.” PHM 2016 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2016, PMH Society, 2016, pp. 446–52, https://doi.org/10.21256/zhaw-2756.
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