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Separable Gaussian neural networks for high-dimensional nonlinear stochastic systems · Study

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ArticleSeparable Gaussian neural networks for high-dimensional nonlinear stochastic systems

Siyuan Xing2024

Article2024

Separable Gaussian neural networks for high-dimensional nonlinear stochastic systems

Siyuan Xing · Jun Jiang · Ling Hong · Jian‐Qiao Sun

10 citations·0/0 files stored·Probabilistic Engineering Mechanics

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Probabilistic and Robust Engineering Design Neural Networks and Applications Gaussian Processes and Bayesian Inference

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References

1976Probabilistic Theory of Structural Dynamics 1967Probabilistic Structural Dynamics: Advanced Theory and Applications 1998Improvements to and limitations of Latin hypercube sampling 2006Stochastic Dynamics and Control 1987Cumulant-Neglect Closure Method for Nonlinear Systems Under Random Excitations 1997On advanced Monte Carlo simulation procedures in stochastic structural dynamics 2000Exponential closure method for some randomly excited non-linear systems 2021Random vibration analysis with radial basis function neural networks

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Year2024

Typearticle

Published2024-03-11

VenueProbabilistic Engineering Mechanics

ISSN-L0266-8920

Languageen

Citations10

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.probengmech.2024.103594

openalex_workW4392640174

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