HyFIS.update: HyFIS updating function

In frbs: Fuzzy Rule-Based Systems for Classification and Regression Tasks

Description

This function is called by HyFIS to update the parameters within the HyFIS method.

Usage

HyFIS.update(data.train, def, rule, names.varoutput, var.mf, miu.rule,
  num.labels, MF, step.size = 0.001, degree.rule)

Arguments

data.train	a matrix (m \times n) of normalized data for the training process, where m is the number of instances and n is the number of variables; the last column is the output variable.
def	matrix of defuzzification results. See defuzzifier.
rule	fuzzy IF-THEN rules. See rulebase.
names.varoutput	a list of names of the output variable.
var.mf	a matrix of parameters of the membership functions. Please see fuzzifier.
miu.rule	a matrix of degree of rules which is a result of the inference.
num.labels	a matrix (1 \times n) whose elements represent the number of labels (or linguistic terms), where n is the number of variables.
MF	a matrix of parameters of the membership functions which is a result of the fuzzifier.
step.size	a real number, the step size of the gradient descent.
degree.rule	a matrix of degrees of rules. See frbs-object.

See Also

HyFIS

frbs documentation built on Dec. 16, 2019, 1:19 a.m.