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- W4328011276 abstract "In this paper, we construct a deep neural network (DNN) model to approximate the three-dimensional numerical Green’s function. A space containing an inhomogeneous cube region is considered. The prediction of the converging DNN we trained is in good agreement with the results obtained by the method of moments (MoM), and it takes less CPU time and memory usage. Numerical examples are shown to illustrate the feasibility of the neural network we proposed." @default.
- W4328011276 created "2023-03-22" @default.
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- W4328011276 date "2022-12-09" @default.
- W4328011276 modified "2023-09-26" @default.
- W4328011276 title "Approximation of Numerical Green’s Function Based on Deep Neural Network with Residual Blocks for Three-Dimensional Dielectric Objects" @default.
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- W4328011276 doi "https://doi.org/10.1109/aces-china56081.2022.10064871" @default.
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