Pages that link to "Item:Q1400693"

The following pages link to Structural optimization using kriging approximation (Q1400693):

Displaying 33 items.

• Application of an iterative global approximation technique to structural optimizations (Q374626) (← links)
• Approximate global optimization with convexity estimation of response surface using Kriging method (Q381395) (← links)
• Moving Kriging reconstruction for high-order finite volume computation of compressible flows (Q465823) (← links)
• Perturbation-based successive approximate topology optimization for a displacement minimization problem (Q658720) (← links)
• Stabilization of parameter estimation for Kriging-based approximation with empirical semivariogram (Q658774) (← links)
• Comparative study on gradient and Hessian estimation using the kriging method and neural network approximation (Q984172) (← links)
• Kriging-based approximate stochastic homogenization analysis for composite materials (Q995291) (← links)
• A hybrid artificial neural network method with uniform design for structural optimization (Q1021172) (← links)
• On applying Kriging-based approximate optimization to inaccurate data (Q1033567) (← links)
• Application of dual kriging to structural shape optimization based on the boundary contour method (Q1286846) (← links)
• Eigenfrequency optimization of stiffened plate using Kriging estimation (Q1419960) (← links)
• An efficient algorithm for kriging approximation and optimization with large-scale sampling data. (Q1430665) (← links)
• Trend mining for system reliability employing a novel heuristic-based kriging profiling method (Q1634037) (← links)
• An application of the kriging method in global sensitivity analysis with parameter uncertainty (Q1788766) (← links)
• An improved approach for estimating the hyperparameters of the Kriging model for high-dimensional problems through the partial least squares method (Q1793472) (← links)
• A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables (Q1986605) (← links)
• Quantile-based topology optimization under uncertainty using kriging metamodel (Q2138749) (← links)
• Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and kriging (Q2179204) (← links)
• Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method (Q2242133) (← links)
• Analytical variance based global sensitivity analysis for models with correlated variables (Q2290168) (← links)
• Aleatory and epistemic uncertainties analysis based on non-probabilistic reliability and its kriging solution (Q2290910) (← links)
• Efficient structural reliability analysis method based on advanced kriging model (Q2337208) (← links)
• An efficient reliability method combining adaptive importance sampling and kriging metamodel (Q2338429) (← links)
• An enhanced hybrid method for the simulation of highly skewed non-Gaussian stochastic fields (Q2494935) (← links)
• Bayesian regularization neural networks for optimizing fluid flow processes (Q2494947) (← links)
• Subproblem optimization with regression and neural network approximators (Q2495624) (← links)
• An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization (Q2495625) (← links)
• Integral estimation with the ordinary Kriging method using the Gaussian semivariogram function (Q3107227) (← links)
• A multiscale strategy for structural optimization (Q3549749) (← links)
• Hybrid approximation algorithm with Kriging and quadratic polynomial-based approach for approximate optimization (Q3587883) (← links)
• (Q3767150) (← links)
• Solving bi-level optimization problems in engineering design using kriging models (Q5058779) (← links)
• Variational Bayesian surrogate modelling with application to robust design optimisation (Q6643588) (← links)