Sentence examples for model and classical from inspiring English sources

In the present application, particle model is used as the micromechanical model and classical linear elasticity as the continuum model.

Inactivation kinetic parameters were obtained through the application of a primary biphasic model and classical secondary models to describe the influence of pressure and temperature on spore inactivation.

The procedure results in a constrained polynomial model with excellent descriptive and interpolating features in comparison with an extended Ratkowsky-type model and classical polynomial model, by combining specific properties of both model types.

To demonstrate our results, we had taken seven datasets from UCI Machine Learning repository and compared the classification accuracy and training time of enhanced GONN with classical Koza's model and classical Back propagation model.

The fate of polysaccharides was determined through UV absorbance, light scattering, ATR-FTIR and viscosity measurements, and the results were analysed using the resistance-in-series model and classical filtration laws.

To demonstrate our results, we had taken the WBCD database from UCI Machine Learning repository and compared the classification accuracy, sensitivity, specificity, confusion matrix, ROC curves and AUC under ROC curves of GONN with classical model and classical back propagation model.

Within this framework, we investigate two types of models for the RSS data: polynomial models and classical logarithmic path-loss representation.

In this paper, we provide an additional methodology to investigate such problems by employing both applied mathematical modelling and classical phonon theory.

Finite element modelling and classical modal reduction in the mathematical basis of the controlled modes are used for the state model.

However, actual data and evidences observed for many diseases (such as influenza, measles, mumps, chickenpox) show that dynamics of disease transmission are not always as simple as shown in these models, and classical epidemic models also cannot explain lots of important phenomena, such as periodic oscillations [11] and so on.

Among the many new tools in use were Bayesian networks, hidden Markov models, information theory, stochastic modeling and classical optimization.