Sentence examples for forecast value for from inspiring English sources

The model used HMM to identify data patterns and then used fuzzy logic to generate appropriate fuzzy rules and obtain a forecast value for next day stock price.

In which, Y t SES is the forecast value for the time period t, X(t − j) is the past observation for the time period t−j, and α is the smoothing parameter or the discounting parameter.

In particular, daily temperature forecasts collected from five daily initialization runs were averaged out to obtain a weekly forecast for each model grid point related to the three Italian macro-areas; afterwards, each temperature forecast of the model grid point was once again averaged in order to obtain a single temperature forecast value for each week (12 in total for each area).

Let e t denote the residual of the ARIMA model at time t: {e}_t={y}_t-{widehat{L}}_t (6 where ( {widehat{L}}_t ) is the forecasting value for time t from the ARIMA model based on original data.

Then, {e}_t^{prime }={y}_t-{widehat{N}}_t (9 where ( {widehat{N}}_t ) is the forecasting value for time t in the MLP model based on the original data.

{e}_t=fleft({e}_{t-1},{e}_{t- 2},dots, {e}_{t-n}right)+{varepsilon}_tkern0.5em Rightarrow kern0.5em {{widehat{N}}^{prime}}_t={widehat{e}}_t=fleft({e}_{t-1},{e}_{t-2},dots, {e}_{t-n}right) (7 where f is a nonlinear function determined by the MLP, ( {{widehat{N}}^{prime}}_t ) is the forecasting value for time t in the MLP model based on residual data, and e t is the random error.

β is the attenuation constant of the stationary estimation and takes values in the interval (0, 1), m is the number of periods to be forecasted in the future, l is the seasonal length (by month or year quartile), T is the trending component, S the seasonal adjusting factor and Ŷ n   +  m is the forecasting value for the following m period.

where indicates the forecast value of the th message for the time period, and has a value from 1 to 4 which, respectively, corresponds to BR, Initial Ranging, Periodic Ranging, and Handover Ranging.

indicates the forecast value of the th message made for the prior time period and indicates the actual value of the time-series in the prior time period.

We computed annual forecast errors as the simple difference between forecast value and corresponding observed value for each of the three indicators.

The error can be mitigated by a hybrid approach, where forecast values are supplemented with error estimates, which affect a blend weight for observed and forecast values.