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All of these models gave high percentage error and RMS error above 40%.
As both these models gave high correlation coefficients (R2 = 98 99%), they could be used in predicting the behaviour or design of the UAF.
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Our regional predictive models gave higher correlation values than the method of analogs for both periods and all forecast horizons except when the ILI incidence was calculated 1 week in advance (Table 2).
For this microorganism, again, the three-phase linear model gave the lowest value for the growth rate (0.10 0.11 OD units h−1), but in this case together with Baranyi model, and again logistic and Gompertz models gave higher values (0.12 0.13 OD units h−1).
It was clear that the ANN models give high prediction accuracy.
The PBEC model presented in this paper is one of the best BBB models giving high TEER.
Stover Kincannon model and Grau second-order model gave high correlation coefficients, which were 99.7% and 99.4%, respectively.
The model gave high correlation coefficients of 0.97 and 0.84 for the training set and the test set, respectively, showing its good predictive ability for biological activity.
The pseudo-second-order kinetic model was applied by plotting t/q t versus t, and this model gave high values of regression correlation coefficient as seen in Figure 8.
As Stover Kincannon model and second-order model gave high correlation coefficients (97.9% and 98.6%, respectively), these models may be used in predicting the behavior or design of the anammox filter.
The neural networks based model gave high prediction accuracy and the results demonstrated that the use of neural networks in assessing the compressive strength and crushing strain of FRP-confined concrete is both practical and beneficial.
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