SELECTION OF INPUT VARIABLES OF NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODEL FOR TIME SERIES DATA FORECASTING

SELECTION OF INPUT VARIABLES OF NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODEL FOR TIME SERIES DATA FORECASTING

NARNN is a type of ANN model consisting of a limited number of parameters and widely used for various applications. This study aims to determine the appropriate NARNN model, for the selection of input variables of nonlinear autoregressive neural network model for time series data forecasting, using...

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Bibliographic Details
Main Authors: Hermansah Hermansah, Dedi Rosadi, Abdurakhman Abdurakhman, Herni Utami
Format: Article
Language:English
Published: Universitas Diponegoro 2020-12-01
Series:Media Statistika
Subjects:
stepwise method
learning method
activation function, ensemble operator, narnn model
Online Access:https://ejournal.undip.ac.id/index.php/media_statistika/article/view/29613

Internet

https://ejournal.undip.ac.id/index.php/media_statistika/article/view/29613

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