Sentence examples for model with given from inspiring English sources

When the corrosion rate of steel reinforcement is taken as the mean value of the corrosion current density of anode zone, the corrosion rate can then be numerically solved from the proposed model with given boundary conditions.

For the nonlinear model with given footstep length, we use accurate measurements and σ s = 0.

Then the simplified model with given uncertainty sets can be transformed into a quadratic programming (QP) and solved by the state-of-the-art QP solution methods [32].

Nevertheless, the speed ratio v is sufficiently small in both cases, which can be ascertained by the comparison between the standard deviation σ ¯ B and the one of our model with given v using Monte-Carlo simulations.

The established network reconstruction algorithms for reconstruction of signalling networks using phosphorylation data in response to external stimuli typically solve a combinatorial, mixed-integer optimization problem in order to minimize the error of a network-based signalling model with given experimental data.

However, unlike MLE, Bayesian techniques involve calculation of posterior probabilities of model parameters by training the model with given data.

The paper also describes procedures for constructing functionally oriented models (models with given or predefined structures, which can serve, in particular, as flexible equivalents for diverse functionalities in power engineering) on the basis of applying experimental design techniques.

We show that the input power signal needs to meet an independence requirement to ensure the model predictability and propose an iterative process to build the models with given error bounds.

Proper simulation of the state variables can be done by solving numerically the set of model equations with given initial conditions.

The formation model was built, with given bit size, formation properties, meshing method and boundary conditions, etc.

The training prediction is calculated to know how well the model is trained with given input training data.