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- W4737269 abstract "A model structure comprising a wavelet network and a linear term is proposed for nonlinear system identification. It is shown that under certain conditions wavelets are orthogonal to linear functions and, as a result, the two parts of the model can be identified separately. The linear-wavelet model is compared to a standard wavelet network using data from a simulated fermentation process. The results show that the linear-wavelet model yields a smaller modelling error when compared to a wavelet network using the same number of regressors." @default.
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- W4737269 date "2002-01-01" @default.
- W4737269 modified "2023-09-23" @default.
- W4737269 title "LINEAR-WAVELET MODELS FOR SYSTEM IDENTIFICATION" @default.
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- W4737269 doi "https://doi.org/10.3182/20020721-6-es-1901.00447" @default.
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