Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN

Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN

Chaotic systems are identified as nonlinear, deterministic dynamic systems that are exhibit sensitive to initial values. Some chaotic equations modeled from daily events involve time information and generate chaotic time series that are sequential data. Through successful prediction studies conducte...

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Bibliographic Details
Main Authors:	Osman Eldoğan, Gülyeter Öztürk
Format:	Article
Language:	English
Published:	Sakarya University 2024-08-01
Series:	Sakarya University Journal of Computer and Information Sciences
Subjects:	chaotic time series multivariate time series prediction gru lstm rnn
Online Access:	https://dergipark.org.tr/en/download/article-file/3596082
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