A single hidden layer feedforward neural network (SLFN) with online sequential extreme learning machine (OSELM) algorithm\nhas been introduced and applied in many regression problems successfully. However, using SLFN with OSELM as black-box for\nnonlinear system identification may lead to building models for the identified plant with inconsistency responses from control\nperspective. The reason can refer to the random initialization procedure of the SLFN hidden node parameters with OSELM\nalgorithm. In this paper, a single hidden layer feedforward wavelet network (WN) is introduced with OSELM for nonlinear system\nidentification aimed at getting better generalization performances by reducing the effect of a random initialization procedure.
Loading....