Approximation bounds for random neural networks and reservoir systems
DOI10.1214/22-aap1806arXiv2002.05933OpenAlexW3006049408MaRDI QIDQ6103961
Juan-Pablo Ortega, Lyudmila Grigoryeva, Lukas Gonon
Publication date: 5 June 2023
Published in: The Annals of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.05933
neural networksapproximation errorreservoir computingecho state networksrandom function approximation
Artificial neural networks and deep learning (68T07) Computational methods for problems pertaining to probability theory (60-08) Random operators and equations (aspects of stochastic analysis) (60H25) Stochastic learning and adaptive control (93E35) Approximation by other special function classes (41A30)
Related Items (3)
Cites Work
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