Acoustic Classification of Surface and Underwater Vessels in the Ocean Using Supervised Machine Learning

Four data-driven methods—random forest (RF), support vector machine (SVM), feed-forward neural network (FNN), and convolutional neural network (CNN)—are applied to discriminate surface and underwater vessels in the ocean using low-frequency acoustic pressure data. Acoustic data are modeled consideri...

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Detalles Bibliográficos
Autores principales: Choi, Jongkwon, Choo, Youngmin, Lee, Keunhwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721123/
https://www.ncbi.nlm.nih.gov/pubmed/31404999
http://dx.doi.org/10.3390/s19163492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721123/
https://www.ncbi.nlm.nih.gov/pubmed/31404999
http://dx.doi.org/10.3390/s19163492

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