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Lag‐ ℓ forecasting and machine‐learning algorithms
Author(s) -
Ahn Jae Joon,
Son Il Suh,
Oh Kyong Joo,
Kim Tae Yoon,
Song Gyu Moon
Publication year - 2011
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2011.00581.x
Subject(s) - computer science , lag , warning system , machine learning , time lag , artificial intelligence , algorithm , computer network , telecommunications
In this study, we discuss the problem of lag‐ ℓ forecasting, which has been solved using a machine‐learning algorithm. The main aim of this study is to define the lag‐ ℓ forecaster based on a precise classification approach and to discuss the technical issues involved in the lag‐ ℓ forecasting problem, including a comparison of various machine‐learning algorithms for proper implementation of the technique. This study focuses on an application that uses the lag‐ ℓ forecaster in an early‐warning system.