Structured Neural Network for Nonlinear Dynamic Systems Modeling
نویسندگان
چکیده
The use of artificial neural networks (ANN) for nonlinear system modeling is a field where still there is much theoretical work to be done. A structured ANN which obtains neural models of nonlinear systems is presented. Those neural models are Fourier-series based. To check the goodness of the method, conventional difference equations are re-modeled via ANN and their respective input/outputs compared. Also their Fourier series expansion are compared. The Fourier coefficients being optimal for series truncation, this allows to estimate the goodness of the models obtained. Preliminary tests give encouraging results
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