Sentence examples for model under case from inspiring English sources

An RMSE of 0.080 was obtained with ANFIS model under case 1.

The linearized single-variable (multi-variable) core model under Case 1 (Case 2) classified by two movable regions of power rod is constructed.

The linearized single-input single-output (SISO) or multiple-input multiple-output (MIMO) core model under Case 1 or Case 2 classified by two movable regions of power regulating rod is constructed.

On the basis of building a two-point based nonlinear PWR core model without boron and with the power rod and Axial Offset (AO) rod, the linearized single-variable (multi-variable) core model under Case 1 (Case 2) classified by two movable regions of power rod is constructed.

While the models under Case 1 were not able to simulate the ΔΨ dependent data in the domain ΔΨ≤120 mV, the models under Case 2 were able to satisfactorily reproduce the ΔΨ dependent data in the entire ΔΨ domain for which data were available.

Based on a model simulation analysis, we show that the two variant model predictions under Case 2 are highly sensitive to variation in matrix [Ca2+] (ranging from 100 nM to 500 nM), suggesting that the model parameter estimates under Case 2 would vary significantly to variation in matrix [Ca2+], and hence can not be robust.

Based on this model simulation analysis, it is found that the two variant model predictions under Case 2 are highly sensitive to variation in matrix [Ca2+] (Figure 1 (D F): lower panel), signifying that the model parameter estimates under Case 2 would vary considerably to variation in matrix [Ca2+], and hence can not be robust.

However, in Theorem 11.1 we have proved that the results for model (2.2) hold true for all 1-theta V_{_{L}>x_{4}^) and of course hold true for model (2.3) under case (SC2) and (tau_{M}leqtau< b/p).

Based on the results shown in Section 6, in particular the results shown in Table 3, we have the following main theorem with respect to finite state-dependent feedback control actions for model (2.2) under case (SC2).

If (tauin I_{tau}^{1}), then according to Theorem 9.1 and Corollary 9.1 the set (operatorname{Int}Omega_{h}) is a unique global attractor of model (2.2) under case (SC2).

In contrast, the model predictions under Case 1, although do not fit well to the ΔΨ dependent data in the range ΔΨ≤120 mV, are insensitive to variation in matrix [Ca2+] (Figure 1 (A C): upper panel).