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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Detalles Bibliográficos
Autores principales: Yang, Honghui, Shen, Sheng, Yao, Xiaohui, Sheng, Meiping, Wang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948803/
https://www.ncbi.nlm.nih.gov/pubmed/29570642
http://dx.doi.org/10.3390/s18040952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948803/
https://www.ncbi.nlm.nih.gov/pubmed/29570642
http://dx.doi.org/10.3390/s18040952

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