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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.txt | 2014-04-15 | 1.9 kB | |
| fugeR_example.R | 2014-04-15 | 14.0 kB | |
| example.tar.gz | 2014-04-15 | 80.9 kB | |
| Totals: 3 Items | 96.8 kB | 0 | |
This is the script prepared to run fugeR package from R environment in a manner of 10-fold cross-validation mode. fugeR is a evolutionary algorithm for fuzzy systems. For more information please refer to its original manual at the CRAN repostitory:
http://cran.r-project.org/web/packages/fugeR/index.html
It requires data prepared in a manner of 10 pairs of training-testing datasets in tab-delimited TXT files, where the last column contains the known answer to the problem (dependent variable) and previous columns are features (regressors or independent variables). The assumption is that the model is of MISO type (multiple-input-single-output)
Script basic adjustable parameters are:
maxRules
maximum number of logical rules allowed to the system
maxVarPerRule
maximum number of variables per rule allowed to the system
generation
number of generations for training of the system
population
size of the population
labelsMf
number of singleton for output variable membership function.
elitism_percent
elite percentage of the population
Please find an example of how to run the script in the example.tar.gz archive Runs on Linux and Mac
Windows users must get rid of multicore library
##########################################################################
This program comes with ABSOLUTELY NO WARRANTY
This is free software, and you are welcome to redistribute it
under certain conditions. Please find a LICENSE file to look
for a more detailed description of terms and conditions based on the
GNU GPLv3 license
##########################################################################
If you are satisfied with this script and find it useful please cite our last work:
Szlęk J, Pacławski A, Lau R, Jachowicz R, Mendyk A. Heuristic modeling of macromolecule release from PLGA microspheres. Int J Nanomedicine. 2013;8:4601-11. doi: 10.2147/IJN.S53364. Epub 2013 Dec 3.
