Depth asynchronous time delay reservoir for nonlinear time series forecasting task-Reference-Cited by-同舟云学术

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Depth asynchronous time delay reservoir for nonlinear time series forecasting task

Published:2024-01 Issue: Volume:655 Page:119883
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

You Meiming,Wang Guoqiang,Yang Zhao,Yang Xuesong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Minimum complexity echo state network;Rodan;IEEE Trans. Neural Netw.,2011

2. The Theory of Chaotic Attractors;Hunt,2004

3. Forecasting the time series of sunspot numbers;Aguirre;Sol. Phys.,2008

4. A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction;Dang;Appl. Artif. Intell.,2022

5. Applying machine learning approaches for network traffic forecasting;Prajam;Indian J. Computer Sci. Eng.,2022

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