“In the field of neural fuzzy Wiener–Hammerstein system identification, a new strategy using hybrid signals has been developed. This technique employs a neural fuzzy network to model the static nonlinear element and an autoregressive exogenous model for the linear dynamic elements. The correlation technique and zero-pole match method are utilized for parameter separation, while the recursive least-squares technique is applied for nonlinear element identification, enhancing identification accuracy.”