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Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series
Work
Year: 2014
Type: article
Cites: 53
Cited by: 46
Related to: 10
FWCI: 0.992
Citation percentile (by year/subfield): 91.46
Open Access status: closed