The Research of GA Optimization Neural Network Weights Blind Equalization Algorithm Based on Binary Coding
Two-stage optimization project was proposed by applying genetic algorithm to neural network blind equalization.At first.the initialization weight was optimized using the characteristic of genetic algorithm.which is strong global search capability.And then,optimal weight was gained in virtue of the merit of BP algorithm.which is fast local search speed.Simulation shows that.compared with traditionaI blind equalization based on BP neural network,the convergence speed of proposed algorithm is quickened.state residual error is decreased and BER is reduced.
blind equalization algorithm neural network genetic algorithm initial weight
Zhang Liyi Liu Yong Liu Ting Sun Yunshan Li Qiang
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
91-94
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）