Determination of the Parameters of a Submerged Source by Perturbations of the Liquid Surface Based on Machine Learning Methods
The inverse problem of generating surface waves in a liquid is to determine the parameters of the source of perturbations from the waves it creates on the liquid surface. A new approach to solving this problem based on machine learning methods and the theory of neural networks is proposed. On the ba...
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| Veröffentlicht in: | Doklady earth sciences 2020-07, Vol.493 (1), p.569-571 |
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| container_title | Doklady earth sciences |
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| creator | Voronin, E. A. Nosov, V. N. Savin, A. S. |
| description | The inverse problem of generating surface waves in a liquid is to determine the parameters of the source of perturbations from the waves it creates on the liquid surface. A new approach to solving this problem based on machine learning methods and the theory of neural networks is proposed. On the basis of the data from a laboratory experiment on water surface perturbations, the parameters of the model moving in the water column are restored. |
| doi_str_mv | 10.1134/S1028334X20070211 |
| format | Article |
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| ispartof | Doklady earth sciences, 2020-07, Vol.493 (1), p.569-571 |
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| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Analysis Earth and Environmental Science Earth Sciences Inverse problems Learning algorithms Liquid surfaces Machine learning Methods Neural networks Oceanology Parameters Perturbations Surface waves Water circulation Water column |
| title | Determination of the Parameters of a Submerged Source by Perturbations of the Liquid Surface Based on Machine Learning Methods |
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