Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2005.10b
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- Pages.502-504
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- 2005
FIR filter parameter estimation using the genetic algorithm
유전자 알고리듬을 이용한 FIR 필터의 파라미터 추정
- Published : 2005.10.28
Abstract
Recently genetic algorithm techniques have widely used in adaptive and control schemes for production systems. However, generally it costs a lot of time for learning in the case applied in control system. Furthermore, the physical meaning of genetic algorithm constructed as a result is not obvious. And this method has been used as a learning algorithm to estimate the parameter of a genetic algorithm used for identification of the process dynamics of FIR filter and it was shown that this method offered superior capability over the genetic algorithm. A genetic algorithm is used to solve the parameter identification problem for linear and nonlinear digital filters. This paper goal estimate FIR filter parameter using the genetic algorithm.