A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems

Yingyi Sun; Jianmin Cao; Chunxu Li

doi:10.1080/01605682.2022.2096501

A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems

Yingyi Sun, Jianmin Cao^*, Chunxu Li

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Jilin Agricultural University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1443-1461
Number of pages	0
Journal	Journal of the Operational Research Society
Volume	74
Issue number	6
Early online date	21 Jul 2022
DOIs	https://doi.org/10.1080/01605682.2022.2096501
Publication status	Published - 3 Jun 2023

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10.1080/01605682.2022.2096501

Cite this

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title = "A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems",

author = "Yingyi Sun and Jianmin Cao and Chunxu Li",

year = "2023",

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AU - Cao, Jianmin

AU - Li, Chunxu

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