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| 基于遗传算法的自适应滤波器设计 | |
| 引用本文： | 吕学芳,平涛. 基于遗传算法的自适应滤波器设计[J]. 微计算机信息, 2010, 0(10) |
| 作者姓名： | 吕学芳 平涛 |
| 作者单位： | 山东外贸职业学院信息管理系;中国科学院青岛生物能源与过程研究所中国科学院生物燃料重点实验室; |
| 摘 要： | LMS算法是自适应滤波器最为常用的算法,该算法比较简单,但决定其收敛速度和稳定性的学习速率难以确定;遗传算法是一种高度并行的全局搜索方法,能够有效地用于自适应滤波器的权系数寻优。文章讨论了基于遗传算法的自适应滤波器的设计过程,并作为一个应用实例,将其应用于线性系统辨识中,取得了较好的仿真结果。 |
| 关 键 词： | 遗传算法 自适应滤波 系统辨识 |
Genetic Algorithm based self-adaptive filter |
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| LV Xue-fang PING Tao. Genetic Algorithm based self-adaptive filter[J]. Control & Automation, 2010, 0(10) | |
| Authors: | LV Xue-fang PING Tao |
| Abstract: | The Least Mean Square Algorithm is the most common algorithm used in self-adaptive filter.This algorithm is simple,but the learning rate that decides the speed and stability of the learning process,is hard to determined.On the other hand,Genetic Algorithm is a highly parallel and global searching method,so it can also be used to search the optimum of the self-adaptive filter weights.This paper discussed the the self-adaptive filter based on Genetic Algorithm at first,then applied it to linear system identif... |
| Keywords: | Genetic Algorithm self-adaptive filtering system identification |
| 本文献已被 CNKI 等数据库收录！ | |