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The modeling approach is complemented with other modeling techniques such as artificial neural networks (ANN) to overcome a number of modeling difficulties.
Also, special modeling techniques such as tie constraint and sub-modeling have been used to model an intermetallic layer titanium-carbide (TiC) with dimensions in nanometers, where the rest of the model's dimensions are in millimeters.
Verification of compliance depends heavily upon synthetic modeling techniques such as PRA.
For this purpose, different modeling techniques such as Lagrangian and coupled methods are used.
We also integrate a superstructure optimization with stochastic modeling techniques such as continuous-time Markov chains.
In recent years, modeling techniques such as artificial neural networks have enhanced the prediction capability and the accuracy of these studies.
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Spatial modelling techniques such as RK and OK take spatial autocorrelation into account when obtaining predictions.
Among the compared methods they noticed that non-linear party modelling techniques, such as neural network based ones, outperform the linear methods like Mahalanobis.
The method has a number of features which overcome limitations in traditionally used system performance modelling techniques, such as fault tree analysis, and also enhances the modelling capabilities.
Used in combination with new digital technologies and modelling techniques, such evidence can be made publicly accessible via interactive on-line 'web apps'.
Based on a number of industrial case studies, this paper will describe the use of numerical modelling techniques, such as the finite element technique, for the design and analysis of sensors, actuators and other electrical devices.
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