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Analog system modeling based on a double modified complex valued neural network
The 2013 International Joint Conference on Neural Networks (IJCNN)
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/ordoi:10.1109/ijcnn.2013.6707136 dblp:conf/ijcnn/LuchettaMP13 fatcat:mf432qiplrgdxfimcnfmcq3ria