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...

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Bibliographic Details

Published in:	Neural networks Vol. 173; p. 106171
Main Authors:	Lucas, Sergio, Portillo, Eva
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.05.2024
Subjects:	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
Online Access:	Get full text
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