A control strategy for electromagnetic near and far field calculation

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

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.

Original languageEnglish
Title of host publicationICECS 2001 - 8th IEEE International Conference on Electronics, Circuits and Systems : The 8th IEEE International Conference On Electronics, Circuits and Systems
Number of pages4
Volume3
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date05.09.2001
Pages1327-1330
Article number957458
ISBN (print)0780370570, 9780780370579
DOIs
Publication statusPublished - 05.09.2001
Event8th Institute of Electrical and Electronics Engineers International Conference On Electronics, Circuits and Systems - 2001 - St. Julian's, Malta
Duration: 02.09.200105.09.2001
Conference number: 8
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=957407