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Intelligent sensitivity analysis framework based on machine learning for spacecraft thermal design
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References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2007Kriging metamodeling in simulation: A review1,278 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2015A Matlab toolbox for Global Sensitivity Analysis655 cited
  • 2015A simple and efficient method for global sensitivity analysis based on cumulative distribution functions512 cited
  • 2012Global sensitivity measures from given data430 cited
  • 2005Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design269 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
  • 2017Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models258 cited
  • 2013A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study175 cited
  • 2008A new computational method of a moment-independent uncertainty importance measure137 cited
  • 1993Sensitivity-based scaling for approximating structural response126 cited

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  • 1994A new approach for measuring uncertainty importance and distributional sensitivity in probabilistic safety assessment86 cited
  • 2012Latin hypercube sampling applied to reliability-based multidisciplinary design optimization of a launch vehicle84 cited
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