Related references
Note: Only part of the references are listed.Revealing the structure of prediction models through feature interaction detection
Xiaohang Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2022)
Hybrid active learning method for non-probabilistic reliability analysis with multi-super-ellipsoidal model
Linxiong Hong et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)
Artificial neural network based response surface for data-driven dimensional analysis
Zhaoyue Xu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2022)
Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling
Liming Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
State-of-the-Art and Comparative Review of Adaptive Sampling Methods for Kriging
Jan N. Fuhg et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)
Adaptive Bayesian support vector regression model for structural reliability analysis
Kai Cheng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
A generalized moving least square-based response surface method for efficient reliability analysis of structure
Sounak Kabasi et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)
An adaptive PCE-HDMR metamodeling approach for high-dimensional problems
Xinxin Yue et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)
An efficient multi-objective optimization method based on the adaptive approximation model of the radial basis function
Xin Liu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)
Reconstruction of the neutron radiation field on nuclear facilities near the shield using Bayesian inference
Zhuang Wang et al.
PROGRESS IN NUCLEAR ENERGY (2020)
Adaptive sampling-based quadrature rules for efficient Bayesian prediction
L. M. M. van den Bos et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
An enhanced Kriging surrogate modeling technique for high-dimensional problems
Yicheng Zhou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for Multivariate Function Representation: Application to Molecular Potential Energy Surfaces
Mohamed Ali Boussaidi et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2020)
A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems
Liming Chen et al.
APPLIED MATHEMATICAL MODELLING (2019)
High-dimensional model representation-based global sensitivity analysis and the design of a novel thermal management system for lithium-ion batteries
Hongfei Huang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Gradient-enhanced high dimensional model representation via Bayesian inference
Kai Cheng et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Assessment of Cohesive Parameters Using High Dimensional Model Representation for Mixed Mode Cohesive Zone Model
B. Kesava Rao et al.
STRUCTURES (2019)
Time-variant reliability analysis based on high dimensional model representation
Kai Cheng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Stochastic response of reinforced concrete buildings using high dimensional model representation
Deepak Sahu et al.
ENGINEERING STRUCTURES (2019)
Evaluating smart sampling for constructing multidimensional surrogate models
Sushant S. Garud et al.
COMPUTERS & CHEMICAL ENGINEERING (2018)
An interval inverse method based on high dimensional model representation and affine arithmetic
Jie Liu et al.
APPLIED MATHEMATICAL MODELLING (2018)
Inversion of radiation field on nuclear facilities: A method based on net function interpolation
Zhuang Wang et al.
RADIATION PHYSICS AND CHEMISTRY (2018)
Response Surface Methodology: Process and Product Optimization Using Designed Experiments 4th edition
Willis A. Jensen
JOURNAL OF QUALITY TECHNOLOGY (2017)
High dimensional model representation for reliability analyses of complex rock-soil slope stability
Giovanna Vessia et al.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2017)
Smart Sampling Algorithm for Surrogate Model Development
Sushant Suhas Garud et al.
COMPUTERS & CHEMICAL ENGINEERING (2017)
Accurate construction of high dimensional model representation with applications to uncertainty quantification
Yaning Liu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction
Lijian Jiang et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2015)
An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design
Ali Ajdari et al.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2014)
Reproducing kernel technique for high dimensional model representations (HDMR)
Xiaopeng Luo et al.
COMPUTER PHYSICS COMMUNICATIONS (2014)
Adaptive sequential sampling for surrogate model generation with artificial neural networks
John Eason et al.
COMPUTERS & CHEMICAL ENGINEERING (2014)
High Dimensional Model Representation With Principal Component Analysis
Kambiz Haji Hajikolaei et al.
JOURNAL OF MECHANICAL DESIGN (2014)
A Robust Error-Pursuing Sequential Sampling Approach for Global Metamodeling Based on Voronoi Diagram and Cross Validation
Shengli Xu et al.
JOURNAL OF MECHANICAL DESIGN (2014)
High dimensional model representation (HDMR) coupled intelligent sampling strategy for nonlinear problems
Enying Li et al.
COMPUTER PHYSICS COMMUNICATIONS (2012)
Inverse structural reliability analysis under mixed uncertainties using high dimensional model representation and fast Fourier transform
A. S. Balu et al.
ENGINEERING STRUCTURES (2012)
Adaptive MLS-HDMR metamodeling techniques for high dimensional problems
Hu Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
A NOVEL HYBRID SEQUENTIAL DESIGN STRATEGY FOR GLOBAL SURROGATE MODELING OF COMPUTER EXPERIMENTS
Karel Crombecq et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2011)
Metamodeling for High Dimensional Simulation-Based Design Problems
Songqing Shan et al.
JOURNAL OF MECHANICAL DESIGN (2010)
An accumulative error based adaptive design of experiments for offline metamodeling
Genzi Li et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2010)
Review of metamodeling techniques in support of engineering design optimization
G. Gary Wang et al.
JOURNAL OF MECHANICAL DESIGN (2007)
Efficient implementation of high dimensional model representations
OF Alis et al.
JOURNAL OF MATHEMATICAL CHEMISTRY (2001)