Title :
A neural network approach for identification of EM field sources: analysis of PCB configurations
Author :
D´Amore, M. ; Morriello, A. ; Sarto, M.S.
Author_Institution :
Dept. of Electr. Eng., Rome Univ., Italy
Abstract :
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
Keywords :
circuit analysis computing; electromagnetic compatibility; electromagnetic interference; learning (artificial intelligence); neural nets; printed circuit layout; EM emission sources recognition; PCB configurations analysis; PCB layouts identification; learning process; neural network approach; radiated emission measurements; radiated field spectra; Coaxial cables; Electromagnetic fields; Electromagnetic measurements; Electromagnetic radiation; Equations; Microstrip; Neural networks; Predictive models; Radiofrequency identification; Transmission line matrix methods;
Conference_Titel :
Electromagnetic Compatibility, 1998. 1998 IEEE International Symposium on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-5015-4
DOI :
10.1109/ISEMC.1998.750276
