Recurrent error-based ridge polynomial neural networks for time series forecasting

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Recurrent error-based ridge polynomial neural networks for time series forecasting

Time series forecasting has attracted much attention due to its impact on many practical applications. Neural networks (NNs) have been attracting widespread interest as a promising tool for time series forecasting. The majority of NNs employ only autoregressive (AR) inputs (i.e., lagged time seri...

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Bibliographic Details
Main Author:	Hassan Saeed, Waddah Waheeb
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/133/ http://eprints.uthm.edu.my/133/1/24p%20WADDAH%20WAHEEB%20HASSAN%20SAEED.pdf http://eprints.uthm.edu.my/133/2/WADDAH%20WAHEEB%20HASSAN%20SAEED%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/133/3/WADDAH%20WAHEEB%20HASSAN%20SAEED%20WATERMARK.pdf

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