Sentence examples for models without incorporating from inspiring English sources

I therefore purposely formulated simple analytical models without incorporating additional factors affecting population dynamics.

Numerical experiments showed that the neuro-fuzzy approach provided satisfactory predictions in sediment transport modeling without incorporating different multipliers for uprush and backwash.

We first demonstrate the benefit of the generative model without incorporating spatial smoothing using simulation.

Based on the model without incorporating axial diffusivities, the concentration profiles for acetic acid in continuous (aqueous) phase and dispersed phase for various operating conditions are shown and in some cases compared with the experimental data.

Consequently, we formulated the compartment model without incorporating age structure.

Persistent elevated firing rates within these ranges typically observed in cortical data is inherently prevalent in the model without incorporating many of the previous mechanisms providing solutions for acquiring that behavior (see for example Latham and Nirenberg, [33]; Barak and Tsodyks [34]; Mongillo et al., [35]).

The following discussions will therefore be based on the model results, without incorporating the 'major element depletion effects' as in Figure 2. Figure 3 shows DMM-normalized spidergrams of the melt trace element compositions, together with average lava compositions of the NE Japan arc (Kimura and Yoshida 2006; Kimura and Stern 2009).

The red and blue bars depict the decoding accuracy evaluated by the models with and without incorporating ensemble effect, respectively.

We also found that unlike the results from the stage-one data (Table 4 and Table 5), for the stage-two data there was noticeable difference between the β coefficient estimates from the models with and without incorporating the intra-class correlation (Table 6 and Table 7).

If standard multilevel modelling is used without incorporating such a sampling design, the estimators of parameters may be biased.

Other recent studies have used genome-wide datasets for multiple TFs to develop prediction models without directly incorporating epigenetic data into the model (Won et al., 2009; Zhou et al., 2010).