This is an evolutionary algorithm for fuzzy systems, a genetic algorithm is used to construct a fuzzy system able to fit the given training data. This fuzzy system can then be used as a prediction model, it's composed of fuzzy logic rules that provide a good lingustic representation.
| Version: | 0.1.2 |
| Depends: | R (≥ 2.15.1), snowfall, Rcpp (≥ 0.9.12) |
| LinkingTo: | Rcpp |
| Published: | 2012-08-08 |
| Author: | Alexandre Bujard |
| Maintainer: | Alexandre Bujard <alexandre.bujard at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | yes |
| CRAN checks: | fugeR results |
| Reference manual: | fugeR.pdf |
| Package source: | fugeR_0.1.2.tar.gz |
| Windows binaries: | r-devel: fugeR_0.1.2.zip, r-release: fugeR_0.1.2.zip, r-oldrel: fugeR_0.1.2.zip |
| macOS binaries: | r-release: fugeR_0.1.2.tgz, r-oldrel: fugeR_0.1.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=fugeR to link to this page.