anfis: Adaptive Neuro Fuzzy Inference System in R

The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy if-then rule network with the following features: (1) Independent number of membership functions(MF) for each input, and also different MF extensible types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4) Hibrid learning, i.e. Descent Gradient for precedents and Least Squares Estimation for consequents (5) Multiple outputs.

Version: 0.99.1
Depends: R (≥ 3.0), methods, parallel
Published: 2015-01-16
Author: Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Maintainer: Cristobal Fresno <cfresno at bdmg.com.ar>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.bdmg.com.ar
NeedsCompilation: no
Materials: NEWS
CRAN checks: anfis results

Downloads:

Reference manual: anfis.pdf
Package source: anfis_0.99.1.tar.gz
Windows binaries: r-devel: anfis_0.99.1.zip, r-release: anfis_0.99.1.zip, r-oldrel: anfis_0.99.1.zip
OS X El Capitan binaries: r-release: anfis_0.99.1.tgz
OS X Mavericks binaries: r-oldrel: anfis_0.99.1.tgz

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