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Modeling data-driven sensor with a novel deep echo state network

  • Published:2020-11 Issue: Volume:206 Page:104062
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Bo Ying-Chun,Wang Ping,Zhang Xin,Liu Bao

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Major Scientific and Technological Projects of CNPC

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A feature-recombinant asynchronous deep reservoir computing for modeling time series data;Applied Soft Computing;2024-01

2. Sequence Prediction and Classification of Echo State Networks;Mathematics;2023-11-14

3. Continual Learning Assisted Dynamic Modeling for Industrial Multimode Quality Prediction;2023 5th International Conference on Industrial Artificial Intelligence (IAI);2023-08-21

4. A Feature Adaptive Asynchronous Deep Reservoir Computing for Modeling soft sensors;2023 42nd Chinese Control Conference (CCC);2023-07-24

5. Deep echo state networks in data marketplaces;Machine Learning with Applications;2023-06
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