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Updated: Jan 29, 2026

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Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
Published on: April 13, 2022
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Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network
Xianshuang Yao1, Zhanshan Wang1, Huaguang Zhang1
1College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China.
Summary
A novel adaptive echo state network (AESN) method enhances the prediction and identification of discrete-time dynamic nonlinear systems (DDNS). This approach optimizes reservoir parameters and uses an improved online learning method for better performance.
Failed At:
2026-06-19T13:38:10.698077+00:00
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