# ANFIS.update: ANFIS updating function

## Description

The role of this function is to update parameters in the ANFIS method.
This function is called by the main function of the ANFIS method, `ANFIS`

.

## Usage

ANFIS.update(data.train, def, rule.data.num, miu.rule, func.tsk, varinp.mf,
step.size = 0.01)

## 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.

rule.data.num

a matrix containing the rule base in integer form.

miu.rule

a matrix with the degrees of rules. See `inference`

.

func.tsk

a matrix of parameters of the function on the consequent part using the Takagi Sugeno Kang model.

varinp.mf

a matrix of parameters of membership functions of the input variables.

step.size

a real number between 0 and 1 representing the step size of
the gradient descent.