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

두가지 gradient 방법의 벡터 선형 예측기에 대한 적용 비교

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.