Difference between revisions of "Tips"
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* if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about | * if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about | ||
* you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag. In this case all the available data will be used and only adaptive modeling will be done. This only works with datasets. | * you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag. In this case all the available data will be used and only adaptive modeling will be done. This only works with datasets. | ||
| + | * If you want to benchmark your computer for Matlab speed simply run "bench" in matlab | ||
Revision as of 10:50, 16 May 2007
- The matlab neural network implementation is very slow! Try to avoid using crossvalidation but use test samples instead
- if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about
- you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag. In this case all the available data will be used and only adaptive modeling will be done. This only works with datasets.
- If you want to benchmark your computer for Matlab speed simply run "bench" in matlab
