The Runtime Gateway
provides several data analysis tools to help you analyze model execution
data.
The Engineering Data Mining (EDM) tool allows you to view results information
to evaluate tradeoffs among multiple performance parameters. It also
allows visualization of pareto fronts generated by multi-objective optimization
algorithms (i.e., NSGA–II, NCGA, AMGA, Multi-Objective Particle Swarm).
Correlation maps are a postprocessing aid that calculates the rank
and linear correlation values of every pair of parameters in a model.
You can use correlation maps to view parameters and their relations to
one another.
Correlation tables are patch charts that represent the correlation value between selected output parameters and selected input parameters. Correlation tables provide a quick look at the most influential/influenced parameters from the selected parameters.
Isight
creates various combinations of scatter plots to display model execution
results. The scatter plots that are displayed are based upon the parameters
selected on the EDM subtab (using the Engineering
Data Mining tool).
Self-organizing maps (SOM) can provide a visual representation of the result of clustering data points using a neural network. Self-organizing maps are useful in identifying interesting clusters in a data set and relationships among parameters.
The visuals created using the data analysis tools are automatically displayed on the Data Analysis tab.