Realization of GA-NN blind equalization algorithm

摘要：

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.

关键词： GA(Genetic algorithm) NN (Neural Network) Blind Equalization Back Propagation

作者: Hu Yong-sheng Yang Ling-ling Li Jian-lei

作者单位: Dept. of Comp. Sci. & Tech.Bin Zhou University Bin Zhou, Shan Dong, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 382-386

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）