Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2016.2603007
Abstract: The validity of any traffic simulation model depends on its ability to generate representative driver acceleration profiles. This paper studies the effectiveness of recurrent neural networks in predicting the acceleration distributions for car following on… read more here.
Keywords: recurrent networks; analysis recurrent; neural networks; driver behavior ... See more keywords
A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2021.656401
Abstract: Recurrent circuitry components are distributed widely within the brain, including both excitatory and inhibitory synaptic connections. Recurrent neuronal networks have potential stability problems, perhaps a predisposition to epilepsy. More generally, instability risks making internal representations… read more here.
Keywords: recurrent networks; non spiking; dynamic leak; neuron model ... See more keywords