A control strategy for electromagnetic near and far field calculation
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-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 language | English |
|---|---|
| Title of host publication | ICECS 2001 - 8th IEEE International Conference on Electronics, Circuits and Systems : The 8th IEEE International Conference On Electronics, Circuits and Systems |
| Number of pages | 4 |
| Volume | 3 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 05.09.2001 |
| Pages | 1327-1330 |
| Article number | 957458 |
| ISBN (Print) | 0780370570, 9780780370579 |
| DOIs | |
| Publication status | Published - 05.09.2001 |
| Event | 8th Institute of Electrical and Electronics Engineers International Conference On Electronics, Circuits and Systems - 2001 - St. Julian's, Malta Duration: 02.09.2001 → 05.09.2001 Conference number: 8 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=957407 |
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