anfis: Adaptive Neuro Fuzzy Inference System in R
Version 0.99.1

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.

Browse man pages Browse package API and functions Browse package files

AuthorCristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Date of publication2015-01-16 16:22:46
MaintainerCristobal Fresno <cfresno@bdmg.com.ar>
LicenseGPL (>= 2)
Version0.99.1
URL http://www.bdmg.com.ar
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("anfis")

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

Functions

ANFIS-class Man page
Anfis-package Man page
BellMF Man page
BellMF-class Man page
GaussianMF Man page
GaussianMF-class Man page
LSE Man page
LSE,ANFIS-method Man page
LSE-methods Man page
MembershipFunction Man page
MembershipFunction-class Man page
NormalizedGaussianMF Man page
NormalizedGaussianMF-class Man page
[,MembershipFunction-method Man page
[<-,MembershipFunction-method Man page
anfis3 Man page
coef Man page
coef,ANFIS-method Man page
coefficients Man page
coefficients,ANFIS-method Man page
derivateMF Man page
derivateMF,BellMF-method Man page
derivateMF,GaussianMF-method Man page
derivateMF,MembershipFunction-method Man page
derivateMF,NormalizedGaussianMF-method Man page
derivateMF-methods Man page
evaluateMF Man page
evaluateMF,BellMF-method Man page
evaluateMF,GaussianMF-method Man page
evaluateMF,MembershipFunction-method Man page
evaluateMF,NormalizedGaussianMF-method Man page
evaluateMF-methods Man page
extract-methods Man page
fitted Man page
fitted,ANFIS-method Man page
fitted.values Man page
fitted.values,ANFIS-method Man page
getConsequents Man page
getConsequents,ANFIS-method Man page
getErrors Man page
getErrors,ANFIS-method Man page
getPremises Man page
getPremises,ANFIS-method Man page
getPremises-methods Man page
getRules Man page
getRules,ANFIS-method Man page
getRules-methods Man page
getTrainingType Man page
getTrainingType,ANFIS-method Man page
initialize Man page
initialize,ANFIS-method Man page
plot Man page
plot,ANFIS-method Man page
plotMF Man page
plotMF,ANFIS-method Man page
plotMF-methods Man page
plotMFs Man page
plotMFs,ANFIS-method Man page
plotMFs-methods Man page
predict Man page
predict,ANFIS-method Man page
print Man page
print,ANFIS-method Man page
print,MembershipFunction-method Man page
resid Man page
resid,ANFIS-method Man page
residuals Man page
residuals,ANFIS-method Man page
show Man page
show,ANFIS-method Man page
show,MembershipFunction-method Man page
summary Man page
summary,ANFIS-method Man page
trainHybridJangOffLine Man page
trainHybridJangOffLine,ANFIS-method Man page
trainHybridJangOffLine-methods Man page
trainHybridJangOnLine Man page
trainHybridJangOnLine,ANFIS-method Man page
trainHybridJangOnLine-methods Man page
trainHybridOffLine Man page
trainHybridOffLine,ANFIS-method Man page
trainHybridOffLine-methods Man page
trainSet Man page Source code

Files

NAMESPACE
NEWS
data
data/anfis3.RData
R
R/Anfis-package.R
R/NormalizedGaussianMF.R
R/Anfis-metrics.R
R/Anfis-predict.R
R/MembershipFunction-evaluateMF.R
R/Anfis-trainSet.R
R/GaussianMF.R
R/Anfis-plotMF.R
R/MembershipFunction-getset.R
R/Anfis-printshow.R
R/MembershipFunction-show.R
R/Anfis3-example.R
R/Anfis.R
R/BellMF.R
R/Anfis-getters.R
R/Anfis-training.R
R/MembershipFunction.R
R/MembershipFunction-derivateMF.R
R/Anfis-plot.R
R/MembershipFunction-print.R
R/Anfis-initialize.R
MD5
DESCRIPTION
man
man/GaussianMF-class.Rd
man/show-MembershipFunction-method.Rd
man/Anfis-package.Rd
man/MembershipFunction-class.Rd
man/ANFIS-predict.Rd
man/BellMF-class.Rd
man/ANFIS-plotMF.Rd
man/extract-methods.Rd
man/ANFIS-class.Rd
man/derivateMF.Rd
man/ANFIS-getters.Rd
man/ANFIS-plot.Rd
man/ANFIS-trainSet.Rd
man/anfis3.Rd
man/print-MembershipFunction-method.Rd
man/ANFIS-training.Rd
man/NormalizedGaussianMF-class.Rd
man/evaluateMF.Rd
man/ANFIS-initialize.Rd
man/ANFIS-metrics.Rd
man/ANFIS-printshow.Rd
anfis documentation built on May 19, 2017, 1:39 p.m.