Memristor crossbar-based unsupervised image learning
Publication
, Journal Article
Chen, L; Li, C; Huang, T; Chen, Y; Wang, X
Published in: Neural Computing and Applications
August 1, 2014
This letter presents a new memristor crossbar array system and demonstrates its applications in image learning. The controlled pulse and image overlay technique are introduced for the programming of memristor crossbars and promising a better performance for noise reduction. The time-slot technique is helpful for improving the processing speed of image. Simulink and numerical simulations have been employed to demonstrate the useful applications of the proposed circuit structure in image learning.
Duke Scholars
Published In
Neural Computing and Applications
DOI
EISSN
1433-3058
ISSN
0941-0643
Publication Date
August 1, 2014
Volume
25
Issue
2
Start / End Page
393 / 400
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4603 Computer vision and multimedia computation
- 4602 Artificial intelligence
- 1702 Cognitive Sciences
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing
Citation
APA
Chicago
ICMJE
MLA
NLM
Chen, L., Li, C., Huang, T., Chen, Y., & Wang, X. (2014). Memristor crossbar-based unsupervised image learning. Neural Computing and Applications, 25(2), 393–400. https://doi.org/10.1007/s00521-013-1501-0
Chen, L., C. Li, T. Huang, Y. Chen, and X. Wang. “Memristor crossbar-based unsupervised image learning.” Neural Computing and Applications 25, no. 2 (August 1, 2014): 393–400. https://doi.org/10.1007/s00521-013-1501-0.
Chen L, Li C, Huang T, Chen Y, Wang X. Memristor crossbar-based unsupervised image learning. Neural Computing and Applications. 2014 Aug 1;25(2):393–400.
Chen, L., et al. “Memristor crossbar-based unsupervised image learning.” Neural Computing and Applications, vol. 25, no. 2, Aug. 2014, pp. 393–400. Scopus, doi:10.1007/s00521-013-1501-0.
Chen L, Li C, Huang T, Chen Y, Wang X. Memristor crossbar-based unsupervised image learning. Neural Computing and Applications. 2014 Aug 1;25(2):393–400.
Published In
Neural Computing and Applications
DOI
EISSN
1433-3058
ISSN
0941-0643
Publication Date
August 1, 2014
Volume
25
Issue
2
Start / End Page
393 / 400
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4603 Computer vision and multimedia computation
- 4602 Artificial intelligence
- 1702 Cognitive Sciences
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing