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1 Ergebnisse
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Hardware design of spiking neural networks for energy effic..:
Abderrahmane, Nassim
NNT: 2020COAZ4082. , 2020
Link:
https://theses.hal.science/tel-03185295
RT Journal T1 <Title>Hardware design of spiking neural networks for energy efficient brain-inspired computing ; Impact du codage impulsionnel sur l'efficacité énergétique des architectures neuromorphiques</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivcotedazur:oai:HAL:tel-03185295v1&Exemplar=1&LAN=DE A1 Abderrahmane, Nassim PB HAL CCSD YR 2020 K1 Artificial Neural Networks K1 Artificial Intelligence K1 Spiking Neural Networks K1 Neural Coding K1 Neuromorphic Computing K1 Hardware Architecture K1 Energy Consumption K1 Embedded Systems K1 Réseaux de Neurones Artificiels K1 Intelligence Artificielle K1 Réseaux de Neurones Impulsionnels K1 Codage Neuronal K1 Calcul Neuromorphique K1 Architecture Matérielle K1 Consommation d'Energie K1 Systèmes Embarqués K1 [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] JF NNT: 2020COAZ4082 LK http://dx.doi.org/https://theses.hal.science/tel-03185295 DO https://theses.hal.science/tel-03185295 SF ELIB - SuUB Bremen
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