An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments-Reference-Cited by-同舟云学术

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An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Liu Zeyi¹^ORCID,Zhang Yi²^ORCID,Ding Zhongjun³^ORCID,He Xiao⁴^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, China

2. College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China

3. National Deep Sea Center, Qingdao, China

4. Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Huaneng Group Science and Technology Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09960812.pdf?arnumber=9960812

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