Nonlinear parameter estimation via the genetic algorithm
- 1 April 1994
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 42 (4), 927-935
- https://doi.org/10.1109/78.285655
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.Keywords
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