anfis: Adaptive Neuro Fuzzy Inference System in R

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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.

Author
Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Date of publication
2015-01-16 16:22:46
Maintainer
Cristobal Fresno <cfresno@bdmg.com.ar>
License
GPL (>= 2)
Version
0.99.1
URLs

View on CRAN

Man pages

anfis3
Anfis' trained example to use for demonstration
ANFIS-class
ANFIS S4 class implementation in R
ANFIS-getters
Getters for ANFIS object
ANFIS-initialize
'initialize' ANFIS object constructor
ANFIS-metrics
ANFIS training results
Anfis-package
Adaptive Neuro Fuzzy Inference System in R
ANFIS-plot
Plot ANFIS training errors
ANFIS-plotMF
PlotMF/s ANFIS' MembershipFunction domain/s
ANFIS-predict
'Predict' ANFIS' network output
ANFIS-printshow
'Print' and 'Show' an ANFIS object
ANFIS-training
Train ANFIS network
ANFIS-trainSet
Bidimentional Sinc train set example
BellMF-class
Bell Membership Function S4 class
derivateMF
'derivateMF' derivate membership function
evaluateMF
'evaluateMF' evaluate membership
extract-methods
Modify membership function parameters
GaussianMF-class
GaussianMF Membership Function S4 class
MembershipFunction-class
MembershipFunction S4 class
NormalizedGaussianMF-class
NormalizedGaussianMF Membership Function S4 class
print-MembershipFunction-method
'Print' a MembershipFunction object
show-MembershipFunction-method
'Show' a MembershipFunction object

Files in this package

anfis
anfis/NAMESPACE
anfis/NEWS
anfis/data
anfis/data/anfis3.RData
anfis/R
anfis/R/Anfis-package.R
anfis/R/NormalizedGaussianMF.R
anfis/R/Anfis-metrics.R
anfis/R/Anfis-predict.R
anfis/R/MembershipFunction-evaluateMF.R
anfis/R/Anfis-trainSet.R
anfis/R/GaussianMF.R
anfis/R/Anfis-plotMF.R
anfis/R/MembershipFunction-getset.R
anfis/R/Anfis-printshow.R
anfis/R/MembershipFunction-show.R
anfis/R/Anfis3-example.R
anfis/R/Anfis.R
anfis/R/BellMF.R
anfis/R/Anfis-getters.R
anfis/R/Anfis-training.R
anfis/R/MembershipFunction.R
anfis/R/MembershipFunction-derivateMF.R
anfis/R/Anfis-plot.R
anfis/R/MembershipFunction-print.R
anfis/R/Anfis-initialize.R
anfis/MD5
anfis/DESCRIPTION
anfis/man
anfis/man/GaussianMF-class.Rd
anfis/man/show-MembershipFunction-method.Rd
anfis/man/Anfis-package.Rd
anfis/man/MembershipFunction-class.Rd
anfis/man/ANFIS-predict.Rd
anfis/man/BellMF-class.Rd
anfis/man/ANFIS-plotMF.Rd
anfis/man/extract-methods.Rd
anfis/man/ANFIS-class.Rd
anfis/man/derivateMF.Rd
anfis/man/ANFIS-getters.Rd
anfis/man/ANFIS-plot.Rd
anfis/man/ANFIS-trainSet.Rd
anfis/man/anfis3.Rd
anfis/man/print-MembershipFunction-method.Rd
anfis/man/ANFIS-training.Rd
anfis/man/NormalizedGaussianMF-class.Rd
anfis/man/evaluateMF.Rd
anfis/man/ANFIS-initialize.Rd
anfis/man/ANFIS-metrics.Rd
anfis/man/ANFIS-printshow.Rd