Difference between revisions of "Tips"
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* If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab | * If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab | ||
− | * You can switch off adaptive sample selection if you do not specify a [[ | + | * You can switch off adaptive sample selection if you do not specify a [[SequentialDesign| <SequentialDesign>]] tag. See [[Adaptive Modeling Mode]]. |
* Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different [[Measures| Measure]] and/or [[FAQ#How_do_I_change_the_error_function_.28relative_error.2C_RMS.2C_....29.3F| error function]]. See also [[Multi-Objective Modeling]]. | * Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different [[Measures| Measure]] and/or [[FAQ#How_do_I_change_the_error_function_.28relative_error.2C_RMS.2C_....29.3F| error function]]. See also [[Multi-Objective Modeling]]. |
Revision as of 10:16, 13 March 2014
- If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab
- You can switch off adaptive sample selection if you do not specify a <SequentialDesign> tag. See Adaptive Modeling Mode.
- Remember that the Measure (and error function you use) strongly influence the quality and fit of the surrogate model. If you are unhappy with the final model, try a different Measure and/or error function. See also Multi-Objective Modeling.
- If the toolbox is too slow for you can speed it up in different ways. See: FAQ#How_can_I_make_the_toolbox_run_faster.3F
- By default Matlab warnings are turned off. To turn them on, either edit configure.m or type 'warning on' before running 'go'
- A blog covering related research can be found here http://sumolab.blogspot.com