A control strategy for electromagnetic near and far field calculation
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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ICECS 2001 - 8th IEEE International Conference on Electronics, Circuits and Systems: The 8th IEEE International Conference On Electronics, Circuits and Systems . Band 3 IEEE - Institute of Electrical and Electronics Engineers Inc., 2001. S. 1327-1330 957458 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Band 3).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - A control strategy for electromagnetic near and far field calculation
AU - Wilk, Jan
AU - Röhm, Horst
N1 - Conference code: 8
PY - 2001/9/5
Y1 - 2001/9/5
N2 - The ability of neural netw orks to predict the electromagnetic field of one dimensional sources as well as of two- and three dimensional sources in a wide dynamic range with small error is an imperative condition to use neural networks in the analysis of complex and fast printed circuit boards. As presented in this paper, Sigma-Pi networks are able to achieve this condition. Because of the high dynamic of the input and the output data within the region of investigation, a very fast back propagation learning algorithm is used to train the neural network and also presented in this paper. Finally, a short outlook is given to the use of neural networks in analysis of printed circuit boards.
AB - The ability of neural netw orks to predict the electromagnetic field of one dimensional sources as well as of two- and three dimensional sources in a wide dynamic range with small error is an imperative condition to use neural networks in the analysis of complex and fast printed circuit boards. As presented in this paper, Sigma-Pi networks are able to achieve this condition. Because of the high dynamic of the input and the output data within the region of investigation, a very fast back propagation learning algorithm is used to train the neural network and also presented in this paper. Finally, a short outlook is given to the use of neural networks in analysis of printed circuit boards.
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=77956861787&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/1d76f67b-ac3b-381b-a0cc-58adc8602400/
U2 - 10.1109/icecs.2001.957458
DO - 10.1109/icecs.2001.957458
M3 - Article in conference proceedings
SN - 0780370570
SN - 9780780370579
VL - 3
T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
SP - 1327
EP - 1330
BT - ICECS 2001 - 8th IEEE International Conference on Electronics, Circuits and Systems
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Institute of Electrical and Electronics Engineers International Conference On Electronics, Circuits and Systems - 2001
Y2 - 2 September 2001 through 5 September 2001
ER -