LSE(object, A, B, initialGamma = 1000)
"LSE"(object, A, B, initialGamma = 1000)
trainHybridJangOffLine(object, epochs = 5, tolerance = 1e-05, initialGamma = 1000, k = 0.01)
"trainHybridJangOffLine"(object, epochs = 5, tolerance = 1e-05, initialGamma = 1000, k = 0.01)
trainHybridOffLine(object, epochs = 5, tolerance = 1e-05, initialGamma = 1000, eta = 0.05, phi = 0.2, a = 0.01, b = 0.1, delta_alpha_t_1 = list())
"trainHybridOffLine"(object, epochs = 5, tolerance = 1e-05, initialGamma = 1000, eta = 0.05, phi = 0.2, a = 0.01, b = 0.1, delta_alpha_t_1 = list())
trainHybridJangOnLine(object, epochs = 5, tolerance = 1e-15, initialGamma = 1000, k = 0.01, lamda = 0.9, S = matrix(nrow = 0, ncol = 0))
"trainHybridJangOnLine"(object, epochs = 5, tolerance = 1e-15, initialGamma = 1000, k = 0.01, lamda = 0.9, S = matrix(nrow = 0, ncol = 0))
ANFIS-class
Other ANFIS: ANFIS-class
;
anfis3
; coef
,
coef,ANFIS-method
,
coefficients
,
coefficients,ANFIS-method
,
fitted
, fitted,ANFIS-method
,
fitted.values
,
fitted.values,ANFIS-method
,
resid
, resid,ANFIS-method
,
residuals
,
residuals,ANFIS-method
,
summary
,
summary,ANFIS-method
;
getConsequents
,
getConsequents
,
getConsequents,ANFIS-method
,
getConsequents,ANFIS-method
,
getErrors
, getErrors
,
getErrors,ANFIS-method
,
getErrors,ANFIS-method
,
getPremises
, getPremises
,
getPremises,ANFIS-method
,
getPremises-methods
,
getRules
, getRules
,
getRules,ANFIS-method
,
getRules-methods
,
getTrainingType
,
getTrainingType
,
getTrainingType,ANFIS-method
,
getTrainingType,ANFIS-method
;
initialize
,
initialize,ANFIS-method
;
plotMF
, plotMF
,
plotMF,ANFIS-method
,
plotMF-methods
, plotMFs
,
plotMFs
,
plotMFs,ANFIS-method
,
plotMFs-methods
; plot
,
plot,ANFIS-method
; predict
,
predict,ANFIS-method
; print
,
print,ANFIS-method
, show
,
show,ANFIS-method
; trainSet