Sentence examples for effective for forecasting from inspiring English sources
GFMAPR shows excellent forecast capability for data characterised by fluctuations, variations and randomness; GFMAPR is quite effective for forecasting in the presence of small and medium sized data availability; GFMAPR is able to make relatively high accurate forecasts when compared against models frequently employment in the industry for forecasting; and.
This method provides an effective way for forecasting the productivity of fluvial facies reservoir which is affected by multi-factors and complex mechanism.
These studies indicate that the EEPAS model is an effective tool for forecasting the larger earthquakes in a catalogue, giving a measurable improvement over spatially-varying but time-invariant estimates of earthquake occurrence.
The proposed ensemble models successfully delineated the influences of seasonal variations and anthropogenic activities on groundwater hydrochemistry and can be used as effective tools for forecasting the chemical composition of groundwater for its management.
In our opinion, the application of broadband seismicity and gas ratios offer the most useful and cost-effective means for forecasting.
However, it is presumed that the inverse gamma prior distribution used in the LN-Bayes model is slightly more effective for forecast repeaters, since the differences between the consistency scores of the LN-Bayes and the LN-SST models are very small.
This implies that although it is less effective than S-GFMAPR, it can still be employed for forecasting.
Artificial neural networks (ANN) have been proved to be an effective alternative for forecasting purposes because of the pattern-matching ability.
The practice shows that using the method of rock angular displacement is very effective for monitoring and forecasting water inrush caused by coal seam floor failure.
Case studies using synthetic and real-world data elucidated that the proposed MGP model significantly outperforms conventional autoregressive models, composite GP model, and support vector regression in terms of prediction accuracy, and it is particularly effective for multi-step forecasting.
