Publication | Closed Access
Nonlinear parameter estimation via the genetic algorithm
217
Citations
15
References
1994
Year
Nonlinear System IdentificationParameter IdentificationAdaptive FilterNonlinear FilteringMachine LearningNonlinear Parameter EstimationModified Genetic AlgorithmEngineeringParameter EstimationFiltering TechniqueSystems EngineeringDigital FilterParameter Identification ProblemSignal ProcessingFilter (Signal Processing)Neural Networks.
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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