JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, vol.22, no.6, pp.1555-1568, 2006 (SCI-Expanded)
Article / Article
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Elman network, Jordan network, dynamic system identification, multi-system identification, embedded memory, RECURRENT NEURAL-NETWORKS
Middle East Technical University Affiliated:
This paper presents a new recurrent neural network (RNN) structure called ENEM for dynamic system identification. ENEM structure is based on Elman network and NARX neural network. In order to show the performance of ENEM for system identification, the results were also compared to the results of Elman network, Jordan network and their modified models. The identification results of linear and nonlinear systems have shown that the proposed ENEM structure is better than the other results of RNN models.