Nonlinear parameter estimation via the genetic algorithm
نویسندگان
چکیده
A modified genetic algorithm is used to solve the parameter identification problem for linear and nonlinear 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.
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ورودعنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 42 شماره
صفحات -
تاریخ انتشار 1994