R: HyFIS updating function

HyFIS.update {frbs}

R Documentation

HyFIS updating function

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

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

`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`.