Concepedia

Machine learning-driven probabilistic seismic demand model with multiple intensity measures and applicability in seismic fragility analysis for nuclear power plants

Yong Wang, Zhi Zheng, Duofa Ji, Xiaolan Pan, Aonan Tian

Soil Dynamics and Earthquake Engineering · 2023 · 33 citations · 50 references

Concepts

ComputingComputational EngineeringNuclear EngineeringEarthquake EngineeringMachine LearningUncertainty QuantificationGround Motion CharacterizationProbabilistic Machine LearningSeismic Hazard IdentificationSeismic Risk AnalysisFragility AnalysisFragility AssessmentNuclear Power StationsSeismic Demand EstimationSeismic Demand ModelingSeismic Fragility AnalysisSeismic Intensity Measures

References

50

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Dagstuhl Research Online Publication Server · 2024 · 13.3K citations · Full text

Computing, Computer Science, Data Science +17

Cross-Validatory Choice and Assessment of Statistical Predictions

M. Stone · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1974 · 10.5K citations

Education, Data Science, Method Validation +9

Incremental dynamic analysis

Dimitrios Vamvatsikos, C. Allin Cornell · Earthquake Engineering & Structural Dynamics · 2001 · 4.1K citations

Engineering, Civil Engineering, Earthquake Engineering +16

Estimating mutual information

Alexander Kraskov, Harald Stögbauer, Peter Grassberger · Physical Review E · 2004 · 4.1K citations · Full text

Natural Sciences, Mathematics, Information Theory +16

A random forest guided tour

Gérard Biau, Erwan Scornet · Test · 2016 · 3.9K citations · Full text

Computing, Computer Science, Data Mining +12