Sentence examples for model by varying from inspiring English sources

With an artificial landscape, we explored this model by varying the extent of perception by animals, which was revealed as the approximate point of maximum divergence in variance.

Their shear buckling values were quantitatively evaluated from nonlinear FE analyses model by varying the corrosion conditions and geometrical conditions of web panels.

The experimental data at various elevated temperatures have been fitted with the model by varying the diffusion coefficient at each temperature and holding other parameters constant.

We simulated Trustee behavior datasets from the model by varying the two free parameters (theta and phi) within the parameter bounds, and then used hierarchical clustering to group the simulations based on similarity, as parameters that yield similar behavioral predictions should be associated with the same strategy (Fig. 4a, colored zones; see Methods).

A series of experiments are conducted with the proposed model by varying the levels of system-wide efficiency, resource reallocation, and budget in generating a set of decisions that executive management of the agency can implement.

Based on the calibrated models a study was conducted on the timber frame wall with brick infill model by varying wall configuration and analysing cumulative energy dissipation and the effect of slenderness and load capacity with increasing drift.

We also performed sensitivity analysis of the model parameters by varying the model parameters to ensure overall robustness of the model to the small variations of parameters (see result section for PLSR test and sensitivity analysis).

Reeling of the tether is modelled by varying the lengths of constituent tether elements.

We characterize the biomechanics of muscle fibers, build mathematical models that simulate those mechanics, and test the models by varying the physical and chemical environment of the fibers.

The effect of the flake position on the Raman signal intensity was modelled by varying the position of the oscillating dipoles within the optofluidic waveguide channel both laterally and vertically.

In the present investigation we demonstrate optimum ANN architecture for the said modelling by varying the number of hidden neurons and percentage of testing data.