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Analog system modeling based on a double modified complex valued neural network.
- Source :
- 2013 International Joint Conference on Neural Networks (IJCNN); 2013, p1-8, 8p
- Publication Year :
- 2013
-
Abstract
- The aim of this work is to present a novel technique for the identification of lumped circuit models of general distributed apparatus and devices. It is based on the use of a double modified complex value neural network. The method is not oriented to a unique class of electromagnetic systems, but it gives a procedure for the complete validation of the approximated lumped model and the extraction of the electrical parameter values. The inputs of the system are the geometrical (and/or manufacturing) parameters of the considered structure, while the outputs are the lumped circuit parameters. The method follows the Frequency Response Analysis (FRA) approach for elaborating the data presented to the network. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISBNs :
- 9781467361293
- Database :
- Complementary Index
- Journal :
- 2013 International Joint Conference on Neural Networks (IJCNN)
- Publication Type :
- Conference
- Accession number :
- 94558411
- Full Text :
- https://doi.org/10.1109/IJCNN.2013.6707136