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
 
* By default Matlab only allocates about 117 MB memory space for the Java Virtual Machine. If you would like to increase this limit (which you should) please follow the instructions [http://www.mathworks.com/support/solutions/data/1-18I2C.html?solution=1-18I2C here]. See also the general memory instructions [http://www.mathworks.com/support/tech-notes/1100/1106.html here].
 
  
 
* You can switch off adaptive sample selection if you do not specify a [[SampleSelector| <SampleSelector>]] tag. See [[Adaptive Modeling Mode]].
 
* You can switch off adaptive sample selection if you do not specify a [[SampleSelector| <SampleSelector>]] 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]].  
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* 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]].
  
* The [http://www.mathworks.com/products/neuralnet/ Matlab Neural Network Toolbox] is very slow! Try to avoid using [[Measures#CrossValidation| CrossValidation]], but use a [[Measures#ValidationSet| ValidationSet]] instead (see the [[FAQ#Why_are_the_Neural_Networks_so_slow.3F | FAQ entry]]).
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* 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'
 
* 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/ http://sumolab.blogspot.com]
 
* '''A blog''' covering related research can be found here [http://sumolab.blogspot.com/ http://sumolab.blogspot.com]

Revision as of 16:10, 10 March 2009

  • If you want to benchmark your computer for Matlab speed simply run "bench" in Matlab
  • 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.
  • By default Matlab warnings are turned off. To turn them on, either edit configure.m or type 'warning on' before running 'go'