DocumentCode
420582
Title
System identification by evolved flexible neural tree model
Author
Chen, Yuehui ; Zhang, Yong ; Dong, Jiwen ; Yang, Bo
Author_Institution
Sch. of Inf. Sci. & Eng., Jinan Univ., China
Volume
1
fYear
2004
fDate
15-19 June 2004
Firstpage
313
Abstract
This paper is concerned with the modeling or identification of nonlinear systems by utilizing evolved flexible neural tree approaches (FNT). A framework for evolving the flexible neural tree model is proposed, in which the architecture and free parameters of FNT model are evolved by EP-style tree structure based on evolutionary algorithm and simulated annealing algorithm, respectively. Simulation results for the identification of nonlinear systems show the feasibility and effectiveness of the proposed method.
Keywords
evolutionary computation; identification; neural nets; nonlinear systems; simulated annealing; trees (mathematics); evolutionary algorithm; evolutionary programming; flexible neural tree model; nonlinear systems; simulated annealing algorithm; system identification; Algorithm design and analysis; Artificial neural networks; Encoding; Evolutionary computation; Genetic programming; Neural networks; Nonlinear systems; Simulated annealing; System identification; Tree graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340582
Filename
1340582
Link To Document