Inferring the fractional nature of Wu Baleanu trajectories

2022 · doi:10.21203/rs.3.rs-2218679/v1
preprint OA: closed CC-BY-4.0
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Abstract

Abstract We infer the parameters of fractional discrete Wu-Baleanu time series by using machine learning architectures based on recurrent neural networks. Our results shed light on how clearly one can determine that a given trajectory comes from a specific fractional discrete dynamical system by estimating the fractional exponent and the scaling factor.

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License: CC-BY-4.0