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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/vlsit/HuoZDZQT023>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chunqi_Qian>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Dexuan_Huo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hong_Chen_0002>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jian_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jilin_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kea-Tiong_Tang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xinyu_Dai>
foaf:homepage <http://dx.doi.org/doi.org%2F10.23919%2FVLSITechnologyandCir57934.2023.10185410>
foaf:homepage <https://doi.org/10.23919/VLSITechnologyandCir57934.2023.10185410>
dc:identifier DBLP conf/vlsit/HuoZDZQT023 (xsd:string)
dc:identifier DOI doi.org%2F10.23919%2FVLSITechnologyandCir57934.2023.10185410 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chunqi_Qian>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Dexuan_Huo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hong_Chen_0002>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jian_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jilin_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kea-Tiong_Tang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xinyu_Dai>
swrc:pages 1-2 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/vlsit/2023>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/vlsit/HuoZDZQT023/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/vlsit/HuoZDZQT023>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/vlsit/vlsit2023.html#HuoZDZQT023>
rdfs:seeAlso <https://doi.org/10.23919/VLSITechnologyandCir57934.2023.10185410>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/vlsit>
dc:title ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document