An empirical assessment of the universality of ANNs to predict oscillatory time series
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DOI: 10.1016/j.ifacol.2020.12.1850
Abstract: Artificial neural networks (ANNs) are universal function approximators, therefore suitable to be trained as predictors of oscillatory time series. Though several ANN architectures have been tested to predict both synthetic and real-world time series, the… read more here.
Keywords: oscillatory time; universality; time; time series ... See more keywords