Approximation properties of residual neural networks for Kolmogorov PDEs

DOI10.3934/dcdsb.2022210OpenAlexW3208986828MaRDI QIDQ2697245

Jonas Baggenstos, Diyora Salimova

Publication date: 18 April 2023

Published in: Discrete and Continuous Dynamical Systems. Series B (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2111.00215

zbMATH Keywords

Feynman-Kac formulaEuler-Maruyama approximationsresidual neural networksKolmogorov PDEsresnets

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic methods, stochastic differential equations (65C99) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75)

Related Items (1)

Approximation properties of residual neural networks for fractional differential equations

Cites Work

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