Title :
Realization of GA-NN Blind Equalization Algorithm
Author :
Yong-Sheng, Hu ; Ling-ling, Yang ; Jian-Lei, Li
Author_Institution :
Dept. of Comp. Sci. & Tech., Bin Zhou Univ., Binzhou, China
Abstract :
In order to overcome the shortcomings of standard BP algorithm, such as low convergence speed and local optimum, since GA is a random searching method with global characteristics, the paper adopts GA to NN training. By analyzing results of an example, the essay draws conclusion that the equalization effect of GA-NN has been greatly improved, convergence process has also been quickened, besides that , residual error as well as BER has been reduced greatly.
Keywords :
backpropagation; blind equalisers; error statistics; genetic algorithms; neural nets; BP algorithm; GA-NN blind equalization algorithm; backpropagation; bit error rate; convergence process; genetic algorithm; neural net; random searching; residual error; Automation; Bit error rate; Blind equalizers; Convergence; Electronic mail; Genetic algorithms; Interference; Neural networks; Nonlinear systems; Parallel processing; Back Propagation; Blind Equalization; GA (Genetic algorithm); NN (Neural Network);
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.100
