두가지 gradient 방법의 벡터 선형 예측기에 대한 적용 비교

Comparison with two Gradient Methods through the application to the Vector Linear Predictor

  • 신광균 (숭실대학교 전자 공학과) ;
  • 양승인 (숭실대학교 전자 공학과)
  • 발행 : 1987.07.03

초록

Two gradient methods, steepest descent method and conjugate gradient descent method, are compar ed through application to vector linear predictors. It is found that the convergence rate of the conju-gate gradient descent method is much faster than that of the steepest descent method.

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