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Intelligent Global Sensitivity Analysis Based on Deep Learning
Shanghai Jiaotong Daxue xuebao, 2022 This paper proposes an end-to-end method that combines deep learning and sensitivity analysis, which can perform gradient back propagation calculation sensitivity on the saved weight information while training the model.
WU Shuchen, QI Zongfeng, LI Jianxun
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Towards parameter estimation in global hydrological models
Environmental Research Letters, 2023 Global hydrological models (GHMs) supply key information for stakeholders and policymakers simulating past, present and future water cycles. Inaccuracy in GHM simulations, i.e.
Jenny Kupzig +4 more
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Sensitivity analysis of upscaling prediction of the mass flux at DNAPL contaminated sites
地质科技通报, 2023 Dense nonaqueous phase liquid (DNAPL) contamination is a growing problem. To assess the environmental risk of DNAPL-contaminated sites, the mass flux of the dissolved phase (mass flux) in the source zone of DNAPL contamination is often extrapolated using
Meiyu Song +3 more
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Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
IEEE Access, 2020 Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian +5 more
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Energies, 2023 In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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A Review on Global Sensitivity Analysis Methods [PDF]
, 2015 This chapter makes a review, in a complete methodological framework, of various global sensitivity analysis methods of model output. Numerous statistical and probabilistic tools (regression, smoothing, tests, statistical learning, Monte Carlo, \ldots) aim at determining the model input variables which mostly contribute to an interest quantity depending
Iooss, Bertrand, Lemaître, Paul
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Global sensitivity analysis for offshore wind cost modelling
Wind Energy, 2021 The costs of offshore wind are decreasing rapidly. However, there is a need to better understand the key drivers behind these cost reductions. New environmental regulations, economic policies, technological advancements and financing structures have ...
Esteve Borràs Mora +2 more
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Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study
Energies, 2021 The adjustment of rail traffic in the event of an electrical infrastructure disruption presents an important decision-making process for the smooth operation of the network. Railway systems are complex, and their analysis relies on expensive simulations,
Soha Saad +4 more
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A global sensitivity analysis approach for morphogenesis models [PDF]
BMC Systems Biology, 2015 31 pages, 7 ...
Boas, S.E.M. +3 more
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Atmosphere, 2023 Land surface parameters are crucial in land surface process model simulations. Considering the complex land surface characteristics of the Loess Plateau, a parametric sensitivity analysis was conducted to determine the key parameters of its Noah Multi ...
Yuanpu Liu +5 more
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