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1 Ergebnisse
1
Fault Tolerance in Hardware Spiking Neural Networks ; Tolér..:
Ali El Sayed, Sarah
NNT: 2021SORUS310. , 2021
Link:
https://theses.hal.science/tel-03681910
RT Journal T1
Fault Tolerance in Hardware Spiking Neural Networks ; Tolérance aux fautes dans les implémentations matérielles des réseaux de neurones à impulsions
UL https://suche.suub.uni-bremen.de/peid=base-ftsorbonneuniv:oai:HAL:tel-03681910v2&Exemplar=1&LAN=DE A1 Ali El Sayed, Sarah PB HAL CCSD YR 2021 K1 Spiking neural works K1 Neuromorphic computing K1 Self-test and reliability K1 Réseaux de neurones impulsionnels K1 Neuromorphiques K1 Accélérateurs matériels d'IA K1 Fiabilité K1 Tolérance aux fautes K1 Autotest K1 [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics K1 [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] K1 [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering K1 [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation K1 [INFO.INFO-ES]Computer Science [cs]/Embedded Systems JF NNT: 2021SORUS310 LK http://dx.doi.org/https://theses.hal.science/tel-03681910 DO https://theses.hal.science/tel-03681910 SF ELIB - SuUB Bremen
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