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Multi-label spacecraft electrical signal classification method based on DBN and random forest
In spacecraft electrical signal characteristic data, there exists a large amount of data with high-dimensional features, a high computational complexity degree, and a low rate of identification problems, which causes great difficulty in fault diagnosis of spacecraft electronic load systems. This pap...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5423585/ https://ncbi.nlm.nih.gov/pubmed/28486479 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0176614 |
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