A modified particle swarm optimization-based dynamic recurrent neural network for identifying and controlling nonlinear systems

Computers and Structures

Volumn 85, Issue 21-22, 2007, Pages 1611-1622

  Ge, Hong Wei ^a,b   Liang, Yan Chun ^a,c   Marchese, Maurizio ^c  

^a JILIN UNIVERSITY   (China)

^b EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

Dynamic recurrent neural network; Nonlinear system identification; Particle swarm optimization; System control; Ultrasonic motor

Indexed keywords

GLOBAL OPTIMIZATION; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS;

ELMAN NETWORK; PARTICLE SWARM OPTIMIZATION; SYSTEM CONTROL; ULTRASONIC MOTORS (USM);

RECURRENT NEURAL NETWORKS;

EID: 35248888069     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruc.2007.03.001     Document Type: Article

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