Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling-Reference-Cited by-同舟云学术

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Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling

Published:2024-06-25 Issue: Volume:27 Page:1334-1339
ISSN:
Container-title:2024 European Control Conference (ECC)
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Author:

Hu Kai¹,Wang Qian²,Shi Tian³,Nakajima Kohei⁴,Pan Yongping²

Affiliation:

1. School of Artificial Intelligence, Sun Yat-sen University,Zhuhai,China,519000

2. School of Advanced Manufacturing, Sun Yat-sen University,Shenzhen,China,518100

3. School of Computer Science and Engineering, Sun Yat -sen University,Guangzhou,China,510006

4. Graduate School of Information Science and Technology, University of Tokyo,Tokyo,Japan,113-8656

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591031.pdf?arnumber=10591031

Reference31 articles.

1. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics

2. Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

3. LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

4. A Unified Framework for Multilingual Speech Recognition in Air Traffic Control Systems

5. A Novel Approach for Linguistic Steganography Evaluation Based on Artificial Neural Networks

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