Convolutional Neural Networks for Multifrequency Electromagnetic Inverse Problems

In this letter, the multiple-channel scheme U-Net convolutional neural network (CNN) is introduced to solve the multifrequency electromagnetic inverse scattering problems. The U-Net CNN inversion method can achieve results with acceptable quality in a very short time, avoiding the drawbacks of the c...

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Veröffentlicht in:	IEEE antennas and wireless propagation letters 2021-08, Vol.20 (8), p.1424-1428
Hauptverfasser:	Li, Hao, Chen, Lijia, Qiu, Jinghui
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Back propagation (BP) method Back propagation networks Backpropagation Convolutional neural networks electromagnetic inverse scattering problems Electromagnetic scattering Electromagnetics Frequencies Inverse problems Inverse scattering Iterative methods multifrequency Neural networks Permittivity Training U-Net convolutional neural network (CNN)
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