Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks-Reference-Cited by-同舟云学术

Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks

Published:2022 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Xinjie¹^ORCID,Jin Yaochu¹^ORCID,Du Wenli¹^ORCID,Wang Jun²^ORCID

Affiliation:

1. Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China

2. Department of Computer Science and the School of Data Science, City University of Hong Kong, Hong Kong, Hong Kong

Funder

Key Project of Science and Technology Innovation 2030 through the Ministry of Science and Technology of China

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars

Shanghai Sailing Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09809795.pdf?arnumber=9809795

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