Sentence examples for task forecasts from inspiring English sources

Although the seasonal forecasting of where tropical storms and hurricanes might make landfall remained a difficult task, forecasts of broader measures of storm activity had become quite successful.

Other scientific teams have tried the notoriously difficult task of forecasting ice sheet decay in physical detail, and this has tended to produce slower estimates of sea level rise than the Schaeffer team's method.

Then, we will consider the task of forecasting the next day imbalance sign.

The SVR is applied to the task of forecasting and PSO is employed to optimize SVR parameters.

The proposed model is applied to the task of forecasting and trading six ETF stocks on a daily basis over the period 2010 2015.

Understanding the decision mechanisms underlying the individual mobility demand and the use of private vehicles in a city is a fundamental task to forecast the impact of new transportation infrastructures or of traffic restriction policies.

Identifying factors that promote pro-environmental behavior has become a key task in forecasting future environmental needs and trends in society and in designing products, educational programs and policies which meet society's environmental demands.

The motivation of this paper is to investigate the use of a Neural Network (NN) architecture, the Psi Sigma Neural Network (PSN), when applied to the task of forecasting and trading the Euro/Dollar (EUR/USD) exchange rate using the European Central Bank (ECB) fixing series and to explore the utility of Kalman Filters in combining NN forecasts.

The National Academies of Sciences, Engineering, and Medicine (NAS) in Washington, D.C., yesterday held the first public meeting of a new committee of academic and industry researchers, tasked with forecasting what biotechnologies will emerge in the next 5 to 10 years, and what new types of risk they might pose to the environment or human health.

First, Yandex says that it is starting to use the new framework itself across its own services, to replace MatrixNet, which is the machine learning algorithm that up to now has been used at the company for everything, from ranking tasks, weather forecasting, Yandex.taxi services (which are now being spun off into a $3.7 billion joint venture with Uber across Russian markets) and recommendations.

Meanwhile using grey and neural network theories, the RPIGM is designed with two tasks: to forecast the future system output which is fed to the RFPID to optimize the controller parameters ahead of time; and to estimate the impacts of noises and disturbances on the system performance in order to create properly a compensating control signal.