Title :
Modified fuzzy associative memory scheme using genetic algorithm
Author :
Si, Jie ; Zhang, Naiyao ; Tang, Rilun
Author_Institution :
R&D Eng., Reston, VA, USA
Abstract :
In this paper, a fuzzy associative memory scheme is thoroughly investigated and modified. Based on the existing fuzzy associative memory structure and algorithms, a genetic algorithm was used to adjust the parameters in the membership function of the fuzzy controller. Simulation experiments based on the inverted pendulum have proved the feasibility and adaptability of the new scheme
Keywords :
content-addressable storage; fuzzy control; fuzzy logic; fuzzy neural nets; genetic algorithms; neurocontrollers; nonlinear control systems; optimal control; pendulums; self-organising feature maps; simulation; adaptability; fuzzy associative memory scheme; fuzzy controller; genetic algorithm; inverted pendulum; membership function parameter adjustment; simulation; Associative memory; Automatic control; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; IEEE members; Neural networks; Research and development;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785520
