Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3229468
Abstract: Plug-in hybrid electric vehicles (PHEVs) have been validated as a preferable solution to transportation due to its great advantages in fuel economy promotion, harmful emission reduction and mileage anxiety mitigation. While, designing an effective energy… read more here.
Keywords: double delay; delay learning; energy; energy management ... See more keywords
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2024.1460309
Abstract: We present a Spiking Neural Network (SNN) model that incorporates learnable synaptic delays through two approaches: per-synapse delay learning via Dilated Convolutions with Learnable Spacings (DCLS) and a dynamic pruning strategy that also serves as… read more here.
Keywords: spiking neural; dynamic pruning; structure; delay learning ... See more keywords
A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.00252
Abstract: Neuroscience research confirms that the synaptic delays are not constant, but can be modulated. This paper proposes a supervised delay learning algorithm for spiking neurons with temporal encoding, in which both the weight and delay… read more here.
Keywords: spike train; delay learning; spiking neurons; train kernels ... See more keywords