A neural network approach for identification of EM field sources: analysis of PCB configurations

The neural network approach is applied to recognize EM emission sources of PCB configurations, with or without attached cables. The learning process is accomplished by using computed spectra of the radiated field from PCBs having different configurations. The trained neural network is then applied to the identification of PCB layouts from radiated emission measurements.