ANFIS updating function

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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

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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.

def

a predicted value

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.

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