Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

ANN inverse analysis based on stochastic small-sample training set simulation

5 references·10 citing·35 second hop

FromToDepth

this work references cited by second hop

References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
1998Improvements to and limitations of Latin hypercube sampling299 cited

Cited by

2013FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module93 cited
2017Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches78 cited
2008Probabilistic risk assessment for the construction phases of a bridge construction based on finite element analysis60 cited
2014Hierarchical Refinement of Latin Hypercube Samples57 cited
2016Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method39 cited
2012Solving Inverse Structural Reliability Problem Using Artificial Neural Networks and Small-Sample Simulation24 cited
2010Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating21 cited
2014

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Optimized Design of Concrete Structures considering Environmental Aspects

15 cited

2022Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks11 cited

2018A comparison of sensitivity analyses for selected prestressed concrete structures10 cited