A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Chunxu_Li>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Jianmin_Cao>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yingyi_Sun>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1080%2F01605682.2022.2096501>
foaf:homepage	<https://doi.org/10.1080/01605682.2022.2096501>
dc:identifier	DBLP journals/jors/SunCL23 (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Jianmin_Cao>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Yingyi_Sun>
swrc:month	June (xsd:string)
swrc:number	6 (xsd:string)
swrc:pages	1443-1461 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/jors/jors74.html#SunCL23>
rdfs:seeAlso	<https://doi.org/10.1080/01605682.2022.2096501>
dc:title	A universal noise-suppressing neural algorithm framework aided with nonconvex activation function for time-varying quadratic programming problems. (xsd:string)
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