THE EFFECT OF DECOMPOSITION METHOD AS DATA PREPROCESSING ON NEURAL NETWORKS MODEL FOR FORECASTING TREND AND SEASONAL TIME SERIES

THE EFFECT OF DECOMPOSITION METHOD AS DATA PREPROCESSING ON NEURAL NETWORKS MODEL FOR FORECASTING TREND AND SEASONAL TIME SERIES

Recently, one of the central topics for the neural networks (NN) community is the issue of data preprocessing on the use of NN. In this paper, we will investigate this topic particularly on the effect of Decomposition method as data processing and the use of NN for modeling effectively time series w...

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Bibliographic Details
Main Authors: Subanar Subanar, Suhartono Suhartono
Format: Article
Language:English
Published: Petra Christian University 2006-01-01
Series:Jurnal Teknik Industri
Subjects:
decomposition
data preprocessing
neural networks
trend
seasonality
time series
forecasting.
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16556

Internet

http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16556

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