Sentence examples for techniques to forecast from inspiring English sources

Decision science's heyday may have been the Vietnam war when Robert McNamara, then America's defence secretary, used such techniques to forecast the outcome of the conflict (though, as it turned out, without much success).

Researchers have tried various techniques to forecast the load of the next few minutes to hours.

Fuzzy time series methods are effective techniques to forecast time series.

Yu et al. (2011) applied neural network, SVM, DT, and extended SVM (ESVM) techniques to forecast customer churn.

The methodology has been developed using time series analysis for the years 2010 2013 to find the explanatory variables of the wind error variability by applying clustering techniques to reduce the range of uncertainty, and regressive techniques to forecast the probability density functions of the intra-day price.

With the increasing importance of wind power as a component of power systems, the problems induced by the stochastic and intermittent nature of wind speed have compelled system operators and researchers to search for more reliable techniques to forecast wind speed.

It should also be beneficial to apply these techniques to forecasting the RTG crane demand in order to improve the understanding of load behaviour which can help to reduce peak demand and gas emissions.

However, as demonstrated in this study, molecular docking represents a fast and reliable cheminformatics technique to forecast drug HLA interactions.

This paper attempts to answer some of these questions and, using a Delphi technique, to forecast those factors likely to influence supply chain development and performance in two LRRs in the UK: West Wales and the Scottish English Borders.

Thus, this study proposed a more efficient technique to forecast financial time series and then, conducted a comprehensive comparison of the predictive capabilities of the series and parallel combination techniques that were combined with linear and nonlinear models, such as ARIMA and MLP, along with their individual components.

Techniques used to forecast seizures include frequency-based methods, statistical analysis of EEG signals, non-linear dynamics (chaos), and intelligent engineered systems.