Sentence examples for model parameter optimisation from inspiring English sources

After model parameter optimisation, observed IL was simulated satisfactorily.

But, for the DNDC model, parameter optimisation failed to improve the simulation result.

We present a novel feature selection algorithm, Winnowing Artificial Ant Colony (WAAC), that performs simultaneous feature selection and model parameter optimisation for the development of predictive quantitative structure-property relationship (QSPR) models.

After a sensitivity analysis that highlights the model parameters for optimisation, an optimisation process for two different configurations is designed.

The authors would like to thank Sanyi Tang and James Locke for fruitful discussions on clock modelling and parameter optimisation, Isabelle Carré for biological criticisms and John O'Neill and Laura Dixon for useful comments on the manuscript.

Programming algorithms used to solve the above-mentioned optimisation model permits the user to change model parameters after optimisation without the need to re-optimise from the beginning.

Programming algorithms used to solve SOS Voyager optimisation models permit the ship owner to change model parameters after optimisation without the need to re-optimise them from the beginning.

As a rigorous modelling framework, the GLUE method provides a series of standard tools that assist the modeller to analyse model sensitivity, undertake parameter optimisation and quantify parameter-induced uncertainty.

In contrast to the early FD-cell model [25], [42], the solutions obtained for the DDI model with automatic parameter optimisation (see above) show that small-field tuning of FD-cells can be explained well by using similar expansive transmission functions for the excitatory and inhibitory synapses and without the assumption of a saturation of the inhibitory element or a shunting inhibition.

In the context of active inference, model acquisition and perceptual learning can be cast in terms of model selection and parameter optimisation through the minimisation of free energy.

Procedures for model parameter determination and optimisation are described, and demonstrated for the prediction of groundnut (i.e. peanut; Arachis hypogaea L). yields across India for the period 1966 1989.