Sentence examples for forecast feed from inspiring English sources
Modern winter service vehicles will usually also have a satellite navigation system connected to a weather forecast feed, allowing the driver to choose the best areas to treat and to avoid areas in which rain is likely, which can wash away the grit used the most advanced can even adapt to changing conditions, ensuring optimal gritter and plow settings.
The forecast fed investor worry that people were tiring of the many online restaurant, spa and Botox deals that Groupon built its business on, and that the company's efforts to broaden into an e-commerce powerhouse had not been paying off.
At the same time, increased uncertainties over the impact of animal diseases, in particular the recent spread of avian flu into Europe makes forecasting feed demand particularly difficult.
In this study, the problem in which time series are forecasted by feed forward neural networks is examined.
The sales forecast for Latheethen Feeds, Inc. includes all varieties of feed, as well as non-feed supplies and future forecasts for boarding stable revenue.
PV power forecasts based on the multiple feed forward irradiance forecast model outperform the PV power persistence forecasts.
Will Spain, the holders, or Brazil, the hosts, win the football World Cup? National elections in Indonesia, India and Brazil (among others) will also feed forecasts.
As the anaerobic digestion process is nonlinear, nonlinear MPC (NMPC) is used to exploit the full knowledge available of the process to forecast optimal substrate feeds.
Forecast developments in the feed grain markets (including coarse grains) are consistent with expected rising meat production, especially pork and beef, and dairy output.
Furthermore, if feed price forecasts are available, the model can also be automated to predict the least cost dietary dynamics and price spread.
begin{aligned} X= X_N (X_{mathrm {max}}-X_{mathrm {min}})+X_{mathrm {min}} end{aligned} (6) Open image in new window Fig. 2 Irradiance forecast methodology using multiple feed-forward neural networks.
