Research of genetic algorithm optimization neural network weights blind equalization algorithm based on real number coding

doi:10.3778/j.issn.1002-8331.2009.11.049

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (11): 162-164.DOI: 10.3778/j.issn.1002-8331.2009.11.049

• 数据库、信号与信息处理 • Previous Articles Next Articles

Research of genetic algorithm optimization neural network weights blind equalization algorithm based on real number coding

ZHANG Li-yi^1,2,LIU Ting¹,SUN Yun-shan¹,LI Qiang²

1.College of Information Engineering，Tianjin University of Commerce，Tianjin 300134，China
2.School of Electric Information Engineering，Tianjin University，Tianjin 300072，China

Received:2008-03-03 Revised:2008-05-07 Online:2009-04-11 Published:2009-04-11
Contact: ZHANG Li-yi

遗传算法优化神经网络权值盲均衡算法的研究

张立毅^1,2,刘婷¹,孙云山¹,李锵²

1.天津商业大学信息工程学院，天津 300134
2.天津大学电子信息工程学院，天津 300072

通讯作者: 张立毅

Abstract

Abstract: The project of two-stage optimization neural network weights is proposed by combining genetic algorithm with neural network blind equalization algorithm.At first，the initialization weight is optimized using the characteristic of genetic algorithm，which is strong global search capability.And then，optimal weight is gained in virtue of the merit of BP algorithm，which is fast local search speed.Computer simulations show that，compared with traditional blind equalization algorithm based on BP neural network，the convergence speed of the proposed algorithm is quickened，state residual error is decreased and BER is reduced.

Key words: blind equalization algorithm, neural network, genetic algorithm, initial weight

摘要： 将遗传算法与神经网络盲均衡算法相结合，提出了两段式优化神经网络权值的方案。首先利用遗传算法全局搜索能力强的特点优化初始权值，然后发挥BP算法局部搜索速度快的特点得到最佳权值。经计算机仿真表明，该算法与传统BP神经网络盲均衡算法相比，收敛速度加快，稳态剩余误差减小，误码率降低。

关键词: 盲均衡算法, 神经网络, 遗传算法, 初始权值

ZHANG Li-yi^1,2,LIU Ting¹,SUN Yun-shan¹,LI Qiang². Research of genetic algorithm optimization neural network weights blind equalization algorithm based on real number coding[J]. Computer Engineering and Applications, 2009, 45(11): 162-164.

张立毅^1,2,刘婷¹,孙云山¹,李锵². 遗传算法优化神经网络权值盲均衡算法的研究[J]. 计算机工程与应用, 2009, 45(11): 162-164.

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Research of genetic algorithm optimization neural network weights blind equalization algorithm based on real number coding

遗传算法优化神经网络权值盲均衡算法的研究

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