Extreme learning machines
This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants.
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2008
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| Online Access: | https://hdl.handle.net/10356/4083 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-40832023-07-04T17:16:28Z Extreme learning machines Zhu, Qinyu Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:44:03Z 2008-09-17T09:44:03Z 2006 2006 Thesis Zhu, Q. (2006). Extreme learning machines. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4083 10.32657/10356/4083 Nanyang Technological University application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| topic |
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Zhu, Qinyu Extreme learning machines |
| description |
This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants. |
| author2 |
Huang Guangbin |
| author_facet |
Huang Guangbin Zhu, Qinyu |
| format |
Theses and Dissertations |
| author |
Zhu, Qinyu |
| author_sort |
Zhu, Qinyu |
| title |
Extreme learning machines |
| title_short |
Extreme learning machines |
| title_full |
Extreme learning machines |
| title_fullStr |
Extreme learning machines |
| title_full_unstemmed |
Extreme learning machines |
| title_sort |
extreme learning machines |
| publishDate |
2008 |
| url |
https://hdl.handle.net/10356/4083 |
| _version_ |
1772827353050775552 |