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Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition
Underwater acoustic target recognition based on ship-radiated noise belongs to the small-sample-size recognition problems. A competitive deep-belief network is proposed to learn features with more discriminative information from labeled and unlabeled samples. The proposed model consists of four stag...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5948803/ https://ncbi.nlm.nih.gov/pubmed/29570642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18040952 |
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