COMPUTING WITH GENETIC ALGORITHMS IN THE CONTEXT OF ADAPTIVE NEURAL FILTERING

被引：2
|
作者：
OSTROWSKI, T
机构：
[1] Technical University of Szczecin, Institute of Electronics and Computer Science, 71-126 Szczecin, ul. 26
来源：
PATTERN RECOGNITION LETTERS | 1995年 / 16卷 / 02期
关键词：
ADAPTIVE FILTERING; GENETIC ALGORITHM; NEURAL FILTER; OPTIMIZATION PROBLEM;
D O I：
10.1016/0167-8655(94)00080-M
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The contribution of this paper is the genetic algorithm (GA) that finds sub-optimal hard neural filters. The developed GA outperforms the adaptive least mean absolute (LMA) algorithm and can be successfully implemented on personal computers.
引用
收藏
页码：125 / 132
页数：8
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