Metric entropy limits on recurrent neural network learning of linear dynamical systems-Reference-Cited by-同舟云学术

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Metric entropy limits on recurrent neural network learning of linear dynamical systems

Published:2021-12 Issue: Volume: Page:
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Hutter Clemens^ORCID,Gül Recep,Bölcskei Helmut^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference47 articles.

1. Multilayer feedforward networks are universal approximators;Hornik;Neural Netw.,1989

2. On the approximate realization of continuous mappings by neural networks;Funahashi;Neural Netw.,1989

3. Approximation by superpositions of a sigmoidal function;Cybenko;Math. Control Signals Syst.,1989

4. A note on metric dimension and feedback in discrete time;Zames;IEEE Trans. Autom. Control,1993

5. A novel connectionist system for unconstrained handwriting recognition;Graves;IEEE Trans. Pattern Anal. Mach. Intell.,2009

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