Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty | ScienceToStartup | ScienceToStartup

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References (51)

[1]

Multi-output time history prediction for seismic responses of structures with uncertain parameters via deep learning

2025Q. Zhong, Shizhi Chen et al.

[2]

Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information

2025Chunxiao Ning, Yazhou Xie

[3]

Graph Neural Network-Based Spatiotemporal Structural Response Modeling in Buildings

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"This paper presents advanced metamodeling frameworks for predicting structural responses under uncertainty, but lacks a clear commercial application."

Structural Engineering AI•Score: 2•View PDF ↗

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Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty

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References (51)

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"This paper presents advanced metamodeling frameworks for predicting structural responses under uncertainty, but lacks a clear commercial application."

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Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty

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References (51)

Founder's Pitch

"This paper presents advanced metamodeling frameworks for predicting structural responses under uncertainty, but lacks a clear commercial application."

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