A new Elman neural network and its dynamic properties

Author

Cheng, Yuan-Chu ; Qi, Wei-Min ; Zhao, Jie

Author_Institution

Coll. of Power & Mech. Eng., Wuhan Univ., Wuhan

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

971

Lastpage

975

Abstract

Elman neural network was one of the dynamic recurrent neural networks. In this paper, a new modified Elman network was proposed first. Then the dynamic characteristics of Elman series neural network are fully discussed. The theory study proved that the new Elman network inherently has proportional (P), integral (I), derivative (D) properties and traditional Elman networks only have PI or I characteristics. Simulation results based on ideal mathematical model show that the PID Elman network is prior to the modified Elman network in identifying nonlinear dynamic system.

Keywords

identification; nonlinear dynamical systems; recurrent neural nets; Elman neural network; dynamic recurrent neural network; mathematical model; nonlinear dynamic system identification; proportional-integral-derivative property; Educational institutions; Feedforward systems; Mathematical model; Mechanical engineering; Mechanical factors; Neural networks; Nonlinear dynamical systems; Output feedback; Recurrent neural networks; System identification; Elman neural network; PID properties; dynamic recurrent network; dynamic system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1673-8

Electronic_ISBN

978-1-4244-1674-5

Type

conf

DOI

10.1109/ICCIS.2008.4670784

Filename

4670784