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浮点数编码的遗传算法在系统辨识中的应用-应用科学学报
19 4 Vol. 19, No. 4
2001 12 JOURN AL OF APPLIED SCIENCE S Dec. 2001
: 0255 297( 2001) 04 0299 04
沈春华, 卢 晶, 徐柏龄
( , 210093)
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ARM A.,,
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: TN912. 34 : A
-
The Application of Float encoding Genetic Algorithm to System Identification
SHEN Chun-hua, LU Jing, XU Bo-ling
(State Key Laboratory of Modern Acoustics, Instituteof Acoustics, Nanj ing
University , Nanj ing 210093, China)
Abstract: In this paper , a new approach to identify ARMA model under noisy background is real-
- . ,
ized by using float encoding genetic algorithms With the aid of this method unbiased parameters
estimates of the system can be obtained when the output is corrupted by noise unrelated with the in-
put signals. The effectiveness of the approach is testified by several simulations and the results
show that it is more effective than least-square method. And it has been successfully applied in the
- .
measurement of the low frequency characteristic parameters of a vented box loudspeaker system
Key words: float-encoding; genetic algorithm; system identification; ARMA model
、, ,
. ,.
[1]
, (float-encoding genetic
,、 algorithm, FGA)
., , FGA,
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[2]
1 ARM A
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, FGA
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