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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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Podrobná bibliografie
Vydáno v:Sensors (Basel)
Hlavní autoři: Yang, Honghui, Shen, Sheng, Yao, Xiaohui, Sheng, Meiping, Wang, Chen
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2018
Témata:
On-line přístup: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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