Sentence examples for model validation as from inspiring English sources
The modelling language (eXtensible Markup Language, XML) allow to implement model validation as well as to easily transform information coming from / going to different software tools, achieving tool integration.
Both the simulation and the experiments were done for several cases and results of the same operating conditions from both platforms were compared for model validation as well as system performances.
This approach enlightens specific features of interest for hydrological engineering: (i) cross correlation between margin parameters are stronger than expected, (ii) marginal distributions cannot be forgotten in the model selection process and (iii) special attention must be addressed to model validation as far as extreme values are of concern.
Figure 8 gives the DPD model validation as far as the AM AM characteristics are concerned.
After the steady state is reached, several experiments are carried out to obtain data for model parameter identification and model validation, as is described in the next subsection.
Furthermore, they demand an investigation of uncertainty related to every derived insight – this includes the aspects of model specification, model fitting, model validation as well as data fusion (Chatfield 1995).
The problem is that any more detailed mechanistic lower-level modelling will require additional data for model construction and validation, as well as the resources involved in model construction itself.
This framework should enable rapid modelling, facilitate model validation and testing, as well as enable automatic code generation for different hardware platforms, including code generation for microprocessors and reconfigurable FPGA devices.
Our hope is that experimental efforts can be directed to independent model validation by us as well as the broad scientific community.
The method for model selection and validation as well as the best model selected can be used in both computer-aided reverse engineering and automatic inspection for error prediction and accuracy improvement.
All modeling steps and calculations, including GA variable selection, model fitting, and validation as well as AD and accuracy assessment were performed using MATLAB (version 8.2, glnxa64) [121].
