Nonlinear prediction of spatio-temporal time series
نویسندگان
چکیده
A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Siv ashinsky equation is forecasted using previously sampled data.
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