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Empirical · Machine learning / AI forecasting · Subgroup
Feed-forward and recurrent neural networks for forecasting -- flexible non-linear function approximators that scale to wide predictor sets when there is enough data.
What this subgroup is for
Reach for neural network models when you have a long enough sample and enough predictors that a flexible non-linear function approximator earns its complexity budget.
Reference coverage
No empirical model reference pages are wired up under this subgroup yet.
Models currently covered
No standalone model pages live under this subgroup yet. The subgroup is listed so the taxonomy is upfront about the gap rather than hiding it.
Back to the cluster
The cluster page lists every model in this empirical class, including the ones that do not yet have a fifth-layer subgroup.