Regularized Generalized Identification Algorithm in the Problem of Modeling of Weakly Formalizable Systems

The analysis of convergence of adaptive regularized generalized identification algorithm under measurement noise is presented. The application of the regularized generalized identification algorithm provides and improves the computational stability of the procedure for estimating the parameters of neuro-fuzzy models.