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We discussed performances of models in simulation and forecasting of streamflow regarding model types, input structures and catchment dynamics in detail.
The general performances of models developed in this study are close; however the adaptive neuro-fuzzy inference system exhibits the best performance considering the performance index and the degree of consistency.
As can be seen, Model 2 has the best prediction performance, although the difference in the prediction performances of Models 2 and 3 is small.
Geographic factors, such as elevation, slope and aspect as well as shadows are also known to affect spectral reflectance values, and thus compromise biomass estimation performances of models based on spectral variables [24].
Performances of models were then tested using ROC curve analysis on the validation sample.
The model performances of models Mt30 and Mt16 for the validation sets are shown in Table 5.
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We carried out two computational experiments to evaluate the performances of model and metaheuristic.
We validated the predictive performance of models using 10-fold cross-validation.
The performance of models was comprehensively evaluated some statistical criteria.
Previously, she studied the structure of El Nino-Southern Oscillation (ENSO) forecasts and the performance of models in predicting ENSO cycles.
The lower performance of models predicting the magnitude of range contractions compared with that of range expansions also raises the possibility of other response mechanisms to climate change.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com