Nonlinear parameter estimation via the genetic algorithm

Authors:
Leehter Yao;W.A. Sethares
Affiliations:
Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei;-
Venue:
IEEE Transactions on Signal Processing
Year:
1994

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Abstract

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