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• W2979589711 abstract "The inversion for geoacoustic parameters is an important task in the study of underwater acoustic propagation and the match-field method is the most popular approach. When considering a series of uncertain environmental parameters with different ranges, the solution of match-field inversion normally involves frequent computation of replica sound fields, which results in a significant computational cost. In order to alleviate the computational burden and efficiently solve the inversion optima, surrogate-based optimization can be applied by making use of surrogate modeling techniques for sound-field calculation. Three types of surrogate modeling techniques including Polynomial Chaos Expansion (PCE), Kriging and PCE-based Kriging are applied in this study to formulate a surrogate-based match-field inversion framework. The performance of proposed method is validated on a two-layer numerical submarine model. The results show that the proposed method can greatly accelerate the match-field geoacoustic inversion process and achieve a balance between the inversion efficiency and accuracy." @default.
• W2979589711 created "2019-10-18" @default.
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• W2979589711 date "2019-06-01" @default.
• W2979589711 modified "2023-09-24" @default.
• W2979589711 title "A Comparative Study for Shallow Water Match-field Inversion Using Surrogate Models" @default.
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• W2979589711 doi "https://doi.org/10.1109/oceanse.2019.8867575" @default.
• W2979589711 hasPublicationYear "2019" @default.
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