UOBScholar Hub
UOB Libraries created the UOBScholar Hub, an Institutional Repository (IR) for archiving and collecting all the research output of the UOB community. It aims to improve the visibility, usage and impact of research conducted at UOB. Materials included are: academic journal articles, conference papers and presentations, books and book chapters, ongoing research papers, reports and patents.
Submit your Publication
Please use this identifier to cite or link to this item:
https://scholarhub.balamand.edu.lb/handle/uob/2058| Title: | Hardware implementation of a fault-tolerant hopfield neural network on FPGAs | Authors: | Clemente, Juan Antonio Mansour, Wassim Ayoubi, Rafic Serrano, Felipe Mecha, Hortensia Ziade, Haissam El Falou, Wassim Velazc, Raoul |
Affiliations: | Department of Computer Engineering | Keywords: | Artificial Neural Network (ANN) Hopfield Neural Network (HNN) Single Event Upset (SEU) Single Event Transient (SET) Fault tolerance |
Subjects: | FPGA | Issue Date: | 2016 | Part of: | Journal of neurocomputing | Volume: | 171 | Start page: | 1606 | End page: | 1609 | Abstract: | This letter presents an FPGA implementation of a fault-tolerant Hopfield Neural Network (HNN). The robustness of this circuit against Single Event Upsets (SEUs) and Single Event Transients (SETs) has been evaluated. Results show the fault tolerance of the proposed design, compared to a previous non-fault-tolerant implementation and a solution based on triple modular redundancy (TMR) of a standard HNN design. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/2058 | DOI: | 10.1016/j.neucom.2015.06.038 | Ezproxy URL: | Link to full text | Type: | Journal Article |
| Appears in Collections: | Department of Computer Engineering |
Show full item record
SCOPUSTM
Citations
26
checked on Dec 28, 2024
Record view(s)
77
checked on Dec 30, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.