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A Wavelet Support Vector Machine‐Based Neural Network Metamodel for Structural Reliability Assessment
9 references·16 citing·45 second hop
A Wavelet Support Vector Machine‐Based Neural Network Metamodel for Structural Reliability Assessment (2017)A Wavelet Support Vector Machine‐Based Ne…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression (2012)Structural Reliability Assess…High-order limit state functions in the response surface method for structural reliability analysis (2007)High-order limit state functi…A comparison of approximate response functions in structural reliability analysis (2007)A comparison of approximate r…An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory (2003)An examination of methods for…Simulation of second-order processes using Karhunen–Loeve expansion (2002)Simulation of second-order pr…Neural-network-based reliability analysis: a comparative study (2001)Neural-network-based reliabil…Effect of response surface parameter variation on structural reliability estimates (2001)Effect of response surface pa…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Vectorial surrogate modeling approach for multi-failure correlated probabilistic evaluation of turbine rotor (2022)Vectorial surrogate modeling …System reliability analyses of static and dynamic structures via direct probability integral method (2021)System reliability analyses o…A systematic review of prediction methods for emergency management (2021)A systematic review of predic…Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures (2020)Support vector regression bas…AK-MSS: An adaptation of the AK-MCS method for small failure probabilities (2020)AK-MSS: An adaptation of the …Structural reliability analysis based on polynomial chaos, Voronoi cells and dimension reduction technique (2019)Structural reliability analys…Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine (2019)Probability and interval hybr…A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis (2019)A novel fractional moments-ba…A hybrid Kriging-based reliability method for small failure probabilities (2019)A hybrid Kriging-based reliab…Support vector regression based metamodeling for structural reliability analysis (2018)Support vector regression bas…RM5Tree: Radial basis M5 model tree for accurate structural reliability analysis (2018)RM5Tree: Radial basis M5 mode…An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion (2018)An explicit method for simula…An efficient approach for high-dimensional structural reliability analysis (2018)An efficient approach for hig…Sustainable Decision-Making in Civil Engineering, Construction and Building Technology (2017)Sustainable Decision-Making i…Simulation of multi-dimensional random fields by Karhunen–Loève expansion (2017)Simulation of multi-dimension…Efficient reliability analysis of structures with the rotational quasi-symmetric point- and the maximum entropy methods (2017)Efficient reliability analysi…A fast and efficient response surface approach for structural reliability problems (1990)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions (2017)Structural Reliability Analysis and Prediction (2017)A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities (2018)A two-dimensional interpolation function for irregularly-spaced data (1968)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Time-variant reliability assessment through equivalent stochastic process transformation (2016)Risk and Reliability Analysis: Theory and Applications (2017)Method for Random Vibration of Hysteretic Systems (1976)An improvement of the response surface method (2011)Reliability analysis of structures by iterative improved response surface method (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Empirical Model-Building and Response Surfaces. (1988)Application of Least Squares Support Vector Machine for Regression to Reliability Analysis (2009)An efficient reliability method combining adaptive importance sampling and Kriging metamodel (2014)Structural Reliability Methods (1996)An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology (1996)A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability (2003)Reliability analysis of structures using neural network method (2005)Digital Generation of Non‐Gaussian Stochastic Fields (1988)Simulation of Stationary Non-Gaussian Translation Processes (1998)Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes (2001)Implementation of Karhunen–Loeve expansion for simulation using a wavelet-Galerkin scheme (2002)Life-cycle reliability-based optimization of civil and aerospace structures (2003)Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion (2005)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Fuzzy sets (1965)Multiple Attribute Decision Making (1981)A review of multi-criteria assessment of the social sustainability of infrastructures (2018)A New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company (2019)The symmetrical and asymmetrical effects of foreign direct investment and financial development on carbon emission: evidence from Nigeria (2020)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Machine learning-based methods in structural reliability analysis: A review (2021)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2007High-order limit state functions in the response surface method for structural reliability analysis273 cited
  • 2001Neural-network-based reliability analysis: a comparative study271 cited
  • 2002Simulation of second-order processes using Karhunen–Loeve expansion269 cited
  • 2001Effect of response surface parameter variation on structural reliability estimates235 cited
  • 2003An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory176 cited
  • 2007A comparison of approximate response functions in structural reliability analysis158 cited
  • 2012Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression143 cited

Cited by

  • 2017Sustainable Decision-Making in Civil Engineering, Construction and Building Technology217 cited
  • 2021A systematic review of prediction methods for emergency management139 cited
  • 2018Support vector regression based metamodeling for structural reliability analysis122 cited
  • 2019A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis115 cited

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2020
Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures
107 cited
  • 2018An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion100 cited
  • 2017Simulation of multi-dimensional random fields by Karhunen–Loève expansion99 cited
  • 2021System reliability analyses of static and dynamic structures via direct probability integral method79 cited
  • 2020AK-MSS: An adaptation of the AK-MCS method for small failure probabilities78 cited
  • 2019Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine74 cited
  • 2019Structural reliability analysis based on polynomial chaos, Voronoi cells and dimension reduction technique64 cited
  • 2018RM5Tree: Radial basis M5 model tree for accurate structural reliability analysis62 cited
  • 2019A hybrid Kriging-based reliability method for small failure probabilities55 cited
  • 2022Vectorial surrogate modeling approach for multi-failure correlated probabilistic evaluation of turbine rotor53 cited
  • 2017Efficient reliability analysis of structures with the rotational quasi-symmetric point- and the maximum entropy methods53 cited
  • 2018An efficient approach for high-dimensional structural reliability analysis53 cited