Sentence examples for minimising the error from inspiring English sources
Optimisation was performed by minimising the error between the experimental and predicted values of responses by ANN.
The gel was modelled as Neo-Hookean hyperelastic, and the material parameters were determined by minimising the error between the experimental and FE data.
In this work three different evolutionary algorithms such as (GA), (PSO) and (DE) have been applied for synthesis of a four-bar mechanism minimising the error between desired and obtained coupler curve.
A characteristic friction diagram is obtained considering wave energy balance in a control volume, minimising the error between the numerical model and the experimental results for the wave transmission coefficient.
In order to overcome this problem, previous research at the University of Plymouth resulted in the development of a numerical model updating process in which 'corrector factors' are derived by minimising the error between the theoretical and analytical load deflection relationships over the entire surface of the panel.
Most probably combining what is predicted and what is observed, thereby minimising the error (prediction vs. actual) is the basis for the collected experience in the learning period.
It is found that the spatial sampling criterion for minimising the errors in the radiated far-field reconstructed from the discretised source distributions is strongly dependent on acoustic wavelength but is only weakly dependent on the details of the source field itself.
The goal-based adaptive methods optimise the angular discretisation to minimise the error in a specific functional of the solution.
This paper describes the use of computational fluid dynamics (CFD) and mathematical optimisation techniques to minimise the error in predicting the recirculation zone for a separated flow topology.
The stimulation current was subsequently adjusted using a proportional integral (PI) controller to minimise the error between the reference value and the electrode offset voltage.
We present a criterion for optimal sampling design under this framework which aims to minimise the error in the prediction of the underlying spatial random effects.
