Package: anfis
Type: Package
Title: Adaptive Neuro Fuzzy Inference System in R
Version: 0.99.1
Date: 2015-01-16
Author: Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Maintainer: Cristobal Fresno <cfresno@bdmg.com.ar>
Description: 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.
URL: http://www.bdmg.com.ar
License: GPL (>= 2)
Depends: R (>= 3.0), methods, parallel
Collate: 'MembershipFunction.R' 'MembershipFunction-show.R' 'BellMF.R'
        'GaussianMF.R' 'NormalizedGaussianMF.R'
        'MembershipFunction-evaluateMF.R' 'Anfis.R'
        'Anfis-initialize.R' 'Anfis-getters.R' 'Anfis-printshow.R'
        'Anfis-metrics.R' 'Anfis-package.R' 'Anfis-plotMF.R'
        'Anfis-plot.R' 'Anfis-predict.R' 'Anfis-training.R'
        'Anfis-trainSet.R' 'Anfis3-example.R'
        'MembershipFunction-derivateMF.R' 'MembershipFunction-getset.R'
        'MembershipFunction-print.R'
NeedsCompilation: no
Packaged: 2015-01-16 14:45:54 UTC; cristobal
Repository: CRAN
Date/Publication: 2015-01-16 16:22:46
