The Asymptotic Performance of Linear Echo State Neural Networks

zbMath1392.68341arXiv1603.07866MaRDI QIDQ2834516

Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali

Publication date: 22 November 2016

Full work available at URL: https://arxiv.org/abs/1603.07866

zbMATH Keywords

mean square errorrandom matrix theoryrecurrent neural networkslinear networksecho state networks

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (8)

Unnamed Item ⋮ Unnamed Item ⋮ Large-dimensional random matrix theory and its applications in deep learning and wireless communications ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Dimension reduction in recurrent networks by canonicalization ⋮ Unnamed Item ⋮ Memory and forecasting capacities of nonlinear recurrent networks

This page was built for publication: The Asymptotic Performance of Linear Echo State Neural Networks