Determination the range that contain the best learning parameter to estimate AR models by using adaptation | ||
Al-Rafidain University College For Sciences | ||
Article 1, Volume 0, Issue 25, April 2017, Pages 29-50 | ||
Author | ||
salah H Abid | ||
Abstract | ||
The smoothing (adaptive , learning) parameter is of importance in the adaptive filtering method . It determines the speed with which the weights in the forecasting equation are adapted to fit the historical data . In this paper , experiments were conducted to minimize intervals which contain adaptive parameter in several situations for autoregressive (AR) processes . | ||
Keywords | ||
adaptive; Learning | ||
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