Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks

zbMath1433.68333arXiv1605.08346MaRDI QIDQ5361270

Dong Yin, Christopher J. Rozell, Adam S. Charles

Publication date: 27 September 2017

Full work available at URL: https://arxiv.org/abs/1605.08346

zbMATH Keywords

recurrent neural networksrestricted isometry propertyshort-term memorysparse signal recoverylow-rank recovery

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05)

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A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks ⋮ Dimension reduction in recurrent networks by canonicalization ⋮ Memory and forecasting capacities of nonlinear recurrent networks

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