Energy‐Efficient Memristive Euclidean Distance Engine for Brain‐Inspired Competitive Learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Energy‐Efficient Memristive Euclidean Distance Engine for Brain‐Inspired Competitive Learning ; day:07 ; month:09 ; year:2021 ; extent:9
Advanced intelligent systems ; (07.09.2021) (gesamt 9)
- Creator
-
Zhou, Houji
Chen, Jia
Wang, Yinan
Liu, Sen
Li, Yi
Li, Qingjiang
Liu, Qi
Wang, Zhongrui
He, Yuhui
Xu, Hui
Miao, Xiangshui
- DOI
-
10.1002/aisy.202100114
- URN
-
urn:nbn:de:101:1-2021090715144674170217
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhou, Houji
- Chen, Jia
- Wang, Yinan
- Liu, Sen
- Li, Yi
- Li, Qingjiang
- Liu, Qi
- Wang, Zhongrui
- He, Yuhui
- Xu, Hui
- Miao, Xiangshui
Other Objects (12)
Energy‐Efficient Memristive Euclidean Distance Engine for Brain‐Inspired Competitive Learning
Compact laser-spectroscopic gas sensors using vertical-cavity surface-emitting lasers
Automated enclosure and protection system for compact solar-tracking spectrometers
Automated Enclosure and Protection System for Compact Solar-Tracking Spectrometers
Erratum to “Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis”
Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis
Research on feature point registration method for wireless multi-exposure images in mobile photography
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Metamaterial Lenses and Their Applications at Microwave Frequencies
Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data
A Case of Vulvar Schwannoma Mimicking Epidermoid Cyst
Energy‐Efficient Memristive Euclidean Distance Engine for Brain‐Inspired Competitive Learning
Compact laser-spectroscopic gas sensors using vertical-cavity surface-emitting lasers
Automated enclosure and protection system for compact solar-tracking spectrometers
Automated Enclosure and Protection System for Compact Solar-Tracking Spectrometers
Erratum to “Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis”
Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis
Research on feature point registration method for wireless multi-exposure images in mobile photography
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Metamaterial Lenses and Their Applications at Microwave Frequencies
Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data
A Case of Vulvar Schwannoma Mimicking Epidermoid Cyst
Energy‐Efficient Memristive Euclidean Distance Engine for Brain‐Inspired Competitive Learning
Compact laser-spectroscopic gas sensors using vertical-cavity surface-emitting lasers
Automated enclosure and protection system for compact solar-tracking spectrometers
Automated Enclosure and Protection System for Compact Solar-Tracking Spectrometers
Erratum to “Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis”
Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis
Research on feature point registration method for wireless multi-exposure images in mobile photography
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence
Metamaterial Lenses and Their Applications at Microwave Frequencies
Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data