Sentence examples for augmented forecast from inspiring English sources

The phrase "augmented forecast" is correct and usable in written English.
It can be used in contexts related to predictions or projections that have been enhanced or improved, often through the use of technology or additional data.
Example: "The augmented forecast for next quarter indicates a significant increase in sales due to the new marketing strategy."
Alternatives: "enhanced prediction" or "improved outlook".

Exact(1)

Stochastic Parameterization Extended Kalman Filter (SPEKF), used as a benchmark here, involves exact formulas for propagating the mean and covariance of the augmented forecast model including the unresolved parameters.

Similar(58)

The LSTAR-LST-GARCH-RBF and MLP models aim at augmenting the forecasting capabilities of the LSTAR-LST-GARCH in long forecast horizons.

This concern is augmented by our economic forecast.

Equations (4), (9), and (10) are time-stepped to forecast the (augmented) model state: textbf{x}^{f}=left[overline{B}_{r}^{f},textbf{u}^{f},{mathcal{E}}^{f} right]^{T},.

We computed optimal single-series forecasts for the ESKAPE infection occurrence, using a univariate method where forecasts are dependent only on present and past values of the single series being forecasted, possibly augmented by a function of time such as a linear trend [ 17].

Among the RBF and MLP augmented LSTAR-LST-GARCH family, the MLP-based models augmented the forecast accuracy of the LSTAR-LST-GARCH models followed by the RBF models.

At the third stage, LSTAR-LST-GARCH models were augmented with RBF and MLP neural networks to improve the modeling and forecasting capabilities of the researcher aiming at forecasting crude oil prices.

Further, the proposed models will be augmented with neural networks to benefit from well known learning and forecasting capabilities.

Here's a forecast--every job a human can do will be augmented by (increased intelligence assets) and possibly replaced by AI.

Second, a newly developed data source, namely, high spatial and temporal resolution cloud drift winds, has been used to augment the often quite poor data base upon which forecasts are based and, in one case, these winds have been augmented with scatterometer-based surface winds.

and augmented (1968).

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