fugeR: FUzzy GEnetic, a machine learning algorithm to construct prediction model based on fuzzy logic

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 (arm64): fugeR_0.1.2.tgz, r-release (x86_64): fugeR_0.1.2.tgz, r-oldrel: fugeR_0.1.2.tgz


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