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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |