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Compression of a Deep Competitive Network Based on Mutual Information for Underwater Acoustic Targets Recognition

The accuracy of underwater acoustic targets recognition via limited ship radiated noise can be improved by a deep neural network trained with a large number of unlabeled samples. However, redundant features learned by deep neural network have negative effects on recognition accuracy and efficiency....

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Dades bibliogràfiques
Publicat a:Entropy (Basel)
Autors principals: Shen, Sheng, Yang, Honghui, Sheng, Meiping
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512758/
https://ncbi.nlm.nih.gov/pubmed/33265334
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040243
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