The supervised learning algorithm is then applied to find the estimator ค, so as to obtain the identification criterion.
In this case, the minimization of the mean square error criterion as defined in (9) and (10) is used.
The iterative minimization scheme is defined in (11), where f(t) represents the search direction and μ (t) the step size.