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Browse Journals & Magazines > Signal Processing, IEEE Trans ...> Volume:42 Issue:4 Help

Nonlinear parameter estimation via the genetic algorithm

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2 Author(s)
Leehter Yao ; Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan ; Sethares, W.A.

A modified genetic algorithm is used to solve the parameter identification problem for linear and nonlinear IIR digital filters. Under suitable hypotheses, the estimation error is shown to converge in probability to zero. The scheme is also applied to feedforward and recurrent neural networks

Published in:
Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 4 )

Date of Publication: Apr 1994

Page(s):
927 - 935
ISSN :
1053-587X
INSPEC Accession Number:
4704945
Digital Object Identifier :
10.1109/78.285655
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
Apr 1994
Sponsored by :
IEEE Signal Processing Society

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