DocumentCode
1737910
Title
Hybrid simplex genetic algorithm for blind equalization using RBF networks
Author
Lin, Hai ; Yamashita, Katsumi
Author_Institution
Ryukyus Univ., Okinawa, Japan
Volume
1
fYear
2000
fDate
2000
Firstpage
411
Abstract
The purpose of the paper is to derive a simplex genetic algorithm (GA) for blind equalization using RBF networks. In order to reduce the computation cost, this algorithm searches the center´s elements instead of centers because of the inter-relation between the centers. Furthermore, by introducing the simplex operator into the GA, the proposed algorithm presents a fast convergence characteristic in simulation
Keywords
convergence of numerical methods; digital communication; digital simulation; genetic algorithms; interference (signal); radial basis function networks; telecommunication computing; RBF networks; blind equalization; computation cost; fast convergence characteristic; hybrid simplex genetic algorithm; simplex operator; simulation; Bayesian methods; Binary sequences; Blind equalizers; Computational efficiency; Convergence; Digital communication; Genetic algorithms; Intersymbol interference; Nonlinear distortion; Radial basis function networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.885026
Filename
885026
Link To Document