Combined multiple random features least mean square algorithm for online applications-Reference-Cited by-同舟云学术

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Combined multiple random features least mean square algorithm for online applications

Published:2022-01-31 Issue:4 Volume:16 Page:391-399
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET Signal Processing

Author:

Shen Minglin¹²,Feng Wei¹²,Huang Gangyi¹²,Qi Letian¹²,Liu Yu³,Wang Shiyuan¹²^ORCID

Affiliation:

1. College of Electronic and Information Engineering Southwest University Chongqing China

2. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China

3. College of Optoelectronic Engineering Chongqing University of Posts and Telecommunications Chongqing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12102

Reference27 articles.

1. Online Learning with Kernels

2. Kernel Adaptive Filtering

3. The Kernel Least-Mean-Square Algorithm

Cited by 1 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. Random Fourier Features Based Kernel Recursive Least Logarithmic Hyperbolic Cosine Algorithm;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17

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