A Prediction Model of HPEMP Effect for Vehicles Based on CNN

This paper proposes a CNN (Convolutional Neural Network)-based prediction model for the HPEMP (High Power Electromagnetic Pulse) effect of ground vehicles, which is used to predict the composite scattering problem of the lower half space and the vehicle above when ground reflections are considered. This method overcomes the traditional Numerical methods are limited by high computational demands and complex half-space environments. The CNN prediction model in this paper provides a reference for evaluating the HPEMP effect of targets on complex half-space media.