We have developed a Neural Network model able to reproduce some nonlinear characteristics of an electronic device. However, electronic devices nonlinear analysis requires an analytical model, that allows to draw conclusions about the device behavior. Such a model can be the Volterra series representation, which is a series that has some particular terms, named the “Volterra kernels”. We want to show in this work how a Volterra model can be built using the parameters of the proposed Neural Network model. We present a method for estimating the Volterra kernels using the Neural Network parameters and some simulation results.
|Titolo:||Towards a Volterra series representation from a Neural Network model|
|Data di pubblicazione:||2004|
|Appare nelle tipologie:||1.1 Articolo in rivista|