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
fDate :
31 Aug.-4 Sept. 2004
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;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441619
