DocumentCode
436583
Title
Approach for evolving hierarchical T-S fuzzy systems
Author
Jiwen, Dong ; Chen Yuehui ; Bo, Yang
Author_Institution
Sch. of Inf. Sci. & Eng., Jinan Univ., China
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1530
Abstract
A combination approach of a modified PIPE algorithm to find the best architecture of hierarchical TS fuzzy model for a given problem and a simple evolutionary programming algorithm to optimize the parameters embedded in the hierarchical TS fuzzy model is proposed. Simulation result for the chaotic time-series prediction problem shows the feasibility and effectiveness of the proposed method.
Keywords
fuzzy neural nets; genetic algorithms; knowledge based systems; learning (artificial intelligence); search problems; time series; chaotic time-series prediction; evolutionary programming; fuzzy logic system; fuzzy neural nets; hierarchical T-S fuzzy system; probabilistic incremental program evolution algorithm; Associative memory; Chaos; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Genetic programming; Nonlinear systems; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441619
Filename
1441619
Link To Document