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Reliability analysis of structures using neural network method
9 references·16 citing·35 second hop
Reliability analysis of structures using neural network method (2005)Reliability analysis of structures using …Structural reliability analysis for implicit performance functions using artificial neural network (2004)Structural reliability analys…Comparison of response surface and neural network with other methods for structural reliability analysis (2003)Comparison of response surfac…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…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation (1996)Structural reliability analyi…A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…Probability Integration by Directional Simulation (1988)Probability Integration by Di…Structural Reliability Theory and Its Applications (1982)Structural Reliability Theory…Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches (2022)Hybrid and enhanced PSO: Nove…Recent advances in reliability analysis of aeroengine rotor system: a review (2021)Recent advances in reliabilit…Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework (2021)Probabilistic analyses of str…Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures (2020)Support vector regression bas…Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants (2020)Machine learning model for Bi…An active learning method combining deep neural network and weighted sampling for structural reliability analysis (2020)An active learning method com…A coupled subset simulation and active learning kriging reliability analysis method for rare failure events (2019)A coupled subset simulation a…Support vector regression based metamodeling for structural reliability analysis (2018)Support vector regression bas…Sparse polynomial chaos expansion based on D-MORPH regression (2017)Sparse polynomial chaos expan…A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling (2015)A hybrid algorithm for reliab…A Multiwavelet Neural Network‐Based Response Surface Method for Structural Reliability Analysis (2014)A Multiwavelet Neural Network…Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression (2012)Structural Reliability Assess…A new adaptive response surface method for reliability analysis (2012)A new adaptive response surfa…Reliability in composites – A selective review and survey of current development (2011)Reliability 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this work references cited by second hop

References

  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 1982Structural Reliability Theory and Its Applications908 cited
  • 1988Probability Integration by Directional Simulation339 cited
  • 2003Comparison of response surface and neural network with other methods for structural reliability analysis284 cited
  • 2004Structural reliability analysis for implicit performance functions using artificial neural network279 cited
  • 1996Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation272 cited
  • 2001Neural-network-based reliability analysis: a comparative study271 cited
  • 2001Effect of response surface parameter variation on structural reliability estimates235 cited

Cited by

  • 2020Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants205 cited
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  • 2007A new artificial neural network-based response surface method for structural reliability analysis172 cited
  • 2011Reliability in composites – A selective review and survey of current development165 cited
  • 2010Reliability analysis using radial basis function networks and support vector machines

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

160 cited
  • 2021Recent advances in reliability analysis of aeroengine rotor system: a review148 cited
  • 2012Structural Reliability Assessment by Local Approximation of Limit State Functions Using Adaptive Markov Chain Simulation and Support Vector Regression143 cited
  • 2020An active learning method combining deep neural network and weighted sampling for structural reliability analysis128 cited
  • 2022Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches126 cited
  • 2018Support vector regression based metamodeling for structural reliability analysis122 cited
  • 2020Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures107 cited
  • 2015A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling94 cited
  • 2021Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework84 cited
  • 2014A Multiwavelet Neural Network‐Based Response Surface Method for Structural Reliability Analysis76 cited
  • 2017Sparse polynomial chaos expansion based on D-MORPH regression74 cited
  • 2019A coupled subset simulation and active learning kriging reliability analysis method for rare failure events70 cited