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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340582
