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Study on two-dimensional electromagnetic scattering based on BP neural network

A study on Two-Dimensional (2-D) electromagnetic scattering is conducted with Back Propagation (BP) neural network. The nonlinearity in the dual-target scenario is studied. Synthetic data is generated with simulation. Taking the received signals under single-target scenarios as the input, a BP neural network is adopted to predict the received signals in corresponding dual-target scenarios. The average prediction error is 11.82%. Preliminary experiments show that the BP neural network can learn the nonlinearity of dual-target electromagnetic scattering.