Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment

A modified convolutional neural network (CNN) is proposed to enhance the reliability of source ranging based on acoustic field data received by a vertical array. Compared to the traditional method, the output layer is modified by outputting Gauss regression sequences, expressed using a Gaussian prob...

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Detalles Bibliográficos
Autores principales: Xiao, Xu, Wang, Wenbo, Su, Lin, Guo, Xinyi, Ma, Li, Ren, Qunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124261/
https://www.ncbi.nlm.nih.gov/pubmed/33946971
http://dx.doi.org/10.3390/s21093109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124261/
https://www.ncbi.nlm.nih.gov/pubmed/33946971
http://dx.doi.org/10.3390/s21093109

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