Title: Single-step ahead prediction based on the principle of concatenation using grey predictors
Authors: Kayacan, Erdal ×
Kaynak, Okyay #
Issue Date: Aug-2011
Publisher: Elsevier
Series Title: Expert Systems with Applications vol:38 issue:8 pages:9499-9505
Abstract: In literature a number of different methods are proposed to improve the prediction accuracy of grey models. However, most of them are computationally expensive, and this may prohibit their extensive use. This paper describes a much simpler scheme, based on the principle of concatenation, in which unit step predictions are concatenated by replacing the missing outputs by their previously predicted values. Despite its extreme simplicity, it is shown that the predicted values thus derived results in a better performance than the methods proposed in the literature. Simulation studies show the effectiveness of the proposed algorithm when applied to nonlinear function predictions. (C) 2011 Elsevier Ltd. All rights reserved.
ISSN: 0957-4174
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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