A radial basis function artificial neural network (RBF ANN) based method for uncertain distributed force reconstruction considering signal noises and material dispersion

DOI10.1016/j.cma.2020.112954zbMath1442.74254OpenAlexW3011377183MaRDI QIDQ2180472

Yaru Liu, Lei Wang, Kaixuan Gu, Tong Wu

Publication date: 14 May 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2020.112954

zbMATH Keywords

orthogonal polynomialdistributed force reconstructionmulti-source uncertaintiesradial basis function artificial neural networksubinterval technology

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Detection theory in information and communication theory (94A13) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60) Numerical and other methods in solid mechanics (74S99) Numerical radial basis function approximation (65D12)

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Cites Work

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