Sentence examples for forecasting problems in from inspiring English sources

This course will approach a variety of problems in investment management, using statistical and machine learning tools to model forecasting problems in the evolution of security prices.

However, the deficiencies of traditional forecasting methods are that they cannot deal with forecasting problems in which historical data are linguistic values.

On the Delta earnings call on July 14, President Glen Hauenstein described a scenario similar to what American saw, forecasting problems in Europe even though "the trans-Atlantic is still on track to produce one of the most profitable summers in history.

The early warning forecasting problem in petrochemical industry could be a very complicated one because the large number of multi-nature processes takes place in the industry.

A type of Mamdani interval type-2 fuzzy logic systems is designed for historical data based forecasting problem in the paper.

In order to overcome the drawback of the traditional forecasting methods, in [1], Song and Chissom proposed the concepts of fuzzy time series to investigate the forecasting problem in which historical data are linguistic values.

Gathering selected, revised and extended contributions from the conference 'Forecasting and Risk Management for Renewable Energy FOREwhich which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry.

Based on the findings of this study, several recommendations were suggested for further exploration of the ELM model in hydrological forecasting problems.

The study shows the suitability of a random forest algorithm for nowcasting application utilizing a large number of input parameters from diverse sources and can be utilized in other forecasting problems.

One of the application areas of fuzzy time series is the forecasting problems under a fuzzy environment in which no numerical historical data are available but linguistic ones.

Based on interviews with the NHMSs, which agreed on the significant improvements of forecast quality since 2000 (Table 1), barriers to a "real-life" use of the forecasts include problems in forecast accuracy (for example, there is a need to update the equipment and the modeling techniques used by forecasters) and gaps in the communication loop with potential users.