anfis3: Anfis' trained example to use for demonstration
Description
The example consist in learning of a bidimentional sinc(x,y) function using
a regular grid of 121 points in the domain [-10,10]x[-10,10] and
five independent Normalized Gaussian Membership Function (MF) for each input
(x and y). The training process used the Hybrid off-line Jang's strategy for
10 epochs.
Format
An ANFIS trained object for demonstration.Details
- Trainning Set
- dim(x)= 121x2, the grid points.
- dim(y)= 121x1, the sinc(x, y) output.
- Architecture
- 2 ( 5x5 ) - 25 - 75 ( 75x1 ) - 1, i. e., 2 inputs with
five MFs in each input, 25 rules and 75 consequents for the single output
(75x1)
- Last training error
- 0.01916307
See Also
Other ANFIS: ANFIS-class; LSE,
LSE, LSE,ANFIS-method,
LSE-methods,
trainHybridJangOffLine,
trainHybridJangOffLine,
trainHybridJangOffLine,ANFIS-method,
trainHybridJangOffLine-methods,
trainHybridJangOnLine,
trainHybridJangOnLine,
trainHybridJangOnLine,ANFIS-method,
trainHybridJangOnLine-methods,
trainHybridOffLine,
trainHybridOffLine,
trainHybridOffLine,ANFIS-method,
trainHybridOffLine-methods;
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