비선형 시스템 식별을 위한 수정된 elman 신경회로망 구조

Modified elman neural network structure for nonlinear system identification

In this paper, we propose a modified elman neural network structure for nonlinear system identification. The proposed structure is that all of network output feed back into hidden units and output units. Learning algorithm is standard back-propagation algorithm. The simulation showed the effectiveness of using the modified elman neural network structure in the nonlinear system identification.