DocumentCode
2622217
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
Volume
2
fYear
1998
fDate
24-28 Aug 1998
Firstpage
664
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility, 1998. 1998 IEEE International Symposium on
Conference_Location
Denver, CO
Print_ISBN
0-7803-5015-4
Type
conf
DOI
10.1109/ISEMC.1998.750276
Filename
750276
Link To Document