Sentence examples for behaviors of errors from inspiring English sources

To understand the behaviors of errors in the poly-A/T regions, we partitioned the INDEL call set by the same six regions again.

The performed simulation modeling revealed that the hypothesis for an exponential behavior of error-free periods for TM as a whole (and SD as well) can be accepted even in the case when TM (or SD) consists of six nodes.

The constructed algorithm controls the error and possesses a good behavior of error bound in a long time simulation.

For both average and maximum interpolation error, the Delaunay method gives better results with a steady average behavior of error decreasing.

Then system (33) can achieve multi-quasi-synchronization. Figure 1 shows the disorganized behavior of error signals (e_{i1}(t)) and (e_{i2}(t)) ((i=1,2)) without controller.

The constructed EEECM controls the error at each integration step, and it turns out that the proposed method possesses a good behavior of error bound in a long time simulation with a given tolerance.

Since dynamic behavior of error system (4) relies on both error state x t) and chaotic state z(t) of response system (3), complete synchronization between two nonidentical chaotic neural networks (1) and (3) cannot be achieved only by utilizing output feedback control.

We analyze the fundamental behaviors of localization errors and show that the localization error for a sensor is locally determined by network elements within a certain range of this sensor.

Dynamic behaviors of the errors between systems (4.1) and (4.3) with differential diffusion coefficients and differential diffusion space are shown in Figures 5 and 6. Figure 5 Asymptotic behaviors of the synchronization errors with differential diffusion coefficients.

The time behaviors of the errors (e_{i}) ((i =1,2,3 )) are shown in Figure 3, clearly indicating that synchronization is effectively achieved between systems (19) and (21).

Figure 4 Different plots of the chaotic attractor of the incommensurate fractional Lü system ( 35 ). Figure 5 Different plots of the hyperchaotic attractors of the incommensurate fractional Lorenz system ( 37 ). Figure 6 Time behaviors of the errors (pmb{e_{1}}), (pmb{e_{2}}), and (pmb{e_{3}}) between systems ( 35 ) and ( 37 ).