Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study

Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study

In recent years, machine-learning techniques, particularly deep learning, have outperformed traditional time-series forecasting approaches in many contexts, including univariate and multivariate predictions. This study aims to investigate the capability of (i) gated recurrent neural networks, includ...

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Bibliographic Details
Main Authors: Shahrokh Shahi, Flavio H. Fenton, Elizabeth M. Cherry
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Machine Learning with Applications
Subjects:
Recurrent neural networks
Reservoir computing
Echo state networks
Deep learning
Chaotic time series
Nonlinear vector autoregression
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000275

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http://www.sciencedirect.com/science/article/pii/S2666827022000275

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