Deep learning approach to large-scale electromagnetic scattering and inverse scattering problems

Large scale electromagnetic scattering and inverse scattering is a hot and difficult point in scientific research and engineering applications, and it is urgent to develop a high performance solution method to integrate electromagnetic model and data mining. A deep study model for large scale electromagnetic scattering and inverse scattering is proposed. The model not only inherits the advantages of simple structure and fast operation speed, but also can solve the problem of large scale electromagnetic scattering and inverse scattering with high precision. The experimental results show that the advanced learning method proposed in this paper can provide new ideas for solving the difficult problems of the existing large scale electromagnetic calculation fusion and the expensive calculation of electromagnetic inverse scattering.