Abstract
In this paper, a Time-Delayed feed-forward Neural Network (NN) is used to make an input-output time-domain characterization of a nonlinear electronic device. The procedure provides also an analytical expression for its behavior, the Volterra Series model, to predict the device response to multiple input power levels. This model, however, can be built to different accuracy degrees, depending on the activation function chosen for the NN used. We compare two Volterra series models extracted from different networks, having hyperbolic tangent and polynomial activation functions. This analysis is applied to the modeling of a Power Amplifier (PA).
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Stegmayer, G. (2005). Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_72
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DOI: https://doi.org/10.1007/11550907_72
Publisher Name: Springer, Berlin, Heidelberg
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