Neural network ensemble-based sensitivity analysis in structural engineering: Comparison of selected methods and the influence of statistical correlation

2020/09/21 by Lixia Pan, Lukáš Novák, Lukăš Novák +3 · 45 citations
Decision Sciences · Engineering · Mathematics · #Analysis of variance #Artificial neural network #Canonical correlation #Computer science #Concrete Corrosion and Durability #Engineering #Gaussian #Machine learning #Mathematics #One-way analysis of variance #Parametric statistics #Probabilistic and Robust Engineering Design #Rank correlation #Sensitivity (control systems) #Sobol sequence #Statistics #Structural Health Monitoring Techniques #Variance-based sensitivity analysis

paper · doi:10.1016/j.compstruc.2020.106376

published in Computers & Structures 242, 106376 (Elsevier BV)

openalex publication_date 2020/09/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/27

Citations

• Remarks on a Multivariate Transformation
• Ensembling neural networks: Many could be better than all
• Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

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