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In comparison with the Naive approach, the aggregation algorithms exhibit somewhat better forecasting performance.
The results reflect that the developed approach has better forecasting performance than other methods considered in this study.
As shown in the RMS values presented in Table 1, ARPG has a slightly better forecasting performance than C1PG both in 2009 and 2015.
Simulation results reveal that the proposed model has better forecasting performance than the artificial neural network model and the regression model.
Analysis results showed that the proposed hybrid forecasting approach receive better forecasting performance compared with classical prediction models selected in this paper, and the CAEFOA obtain higher optimization efficiency than FOA.
Since it is difficult to assume that there is no correlation of activity between cells over short distances, a reasonable spatial extent should be examined for each studied region in order to provide a better forecasting performance, as discussed by many authors.
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RMSE values approaching 0 and CC values approaching 1 signify better forecast performance.
The experiment results clearly show that for these two particular datasets, the proposed method achieves much better forecast performance than the basic back propagation neural network and ARIMA model.
Notably, the DBM has shown better earthquake forecasting performances for large earthquakes at both worldwide (Marzocchi and Lombardi, 2008) and regional (Lombardi and Marzocchi, 2009, 2010) scales, with respect to models with a time-independent background rate.
It is possible to get better information, and by analyzing that information more acutely to do a better job of forecasting performance than other people do.
Comparing with the model neglecting the proton concentration change and dynamic diffusion of vanadium ions, the presented model can better forecast the performances of the VFB.
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CEO of Professional Science Editing for Scientists @ prosciediting.com