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1 Ergebnisse
1
An optimized Hebbian Learning Rule for Spiking Neural Netwo..:
, In:
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)
,
Chen, Tingyu
;
Hu, Xin
;
Zhou, Yiren
... - p. 18-23 , 2022
Link:
https://doi.org/10.1109/ARACE56528.2022.00012
RT T1 <cTitle>2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)</cTitle>: T1 <Title>An optimized Hebbian Learning Rule for Spiking Neural Networks on the Classification Problems with Informative Data Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9951122&Exemplar=1&LAN=DE A1 Chen, Tingyu A1 Hu, Xin A1 Zhou, Yiren A1 Zou, Zhuo A1 Liang, Longfei A1 Yang, Wen-Chi YR 2022 K1 Training K1 Machine learning algorithms K1 Neurons K1 Mathematical models K1 Computational efficiency K1 Classification algorithms K1 Hebbian theory K1 Neural Network Theory and Architectures K1 Spiking Neural Network K1 Unsupervised and Supervised Learning K1 Performance analysis of Machine Learning Algorithms SP 18 OP 23 LK http://dx.doi.org/https://doi.org/10.1109/ARACE56528.2022.00012 DO https://doi.org/10.1109/ARACE56528.2022.00012 SF ELIB - SuUB Bremen
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