Methodology based on spiking neural networks for univariate time-series forecasting

Spiking Neural Networks (SNN) are recognised as well-suited for processing spatiotemporal information with ultra-low energy consumption. However, proposals based on SNN for classification tasks are more common than for forecasting problems. In this sense, this paper presents a new general training m...

Celý popis

Podrobná bibliografie

Vydáno v:	Neural networks Ročník 173; s. 106171
Hlavní autoři:	Lucas, Sergio, Portillo, Eva
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.05.2024
Témata:	Forecasting PWM based encoding–decoding algorithm Spiking Neural Network Supervised learning Surrogate gradient PWM based encoding–decoding algorithm Surrogate gradient Spiking Neural Network Supervised learning Forecasting
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!