Results 1 to 10 of about 6,794 (215)
Combined surrogate model for stress prediction of spherical bulkhead with openings
Zhongguo Jianchuan Yanjiu, 2022 ObjectiveA spherical bulkhead with openings has many structural parameters, and it is time-consuming and laborious to directly use the finite element method to carry out parameter research.
Tianyi CHEN +3 more
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Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques [PDF]
Geoscientific Model Development, 2019 Improving predictive understanding of Earth system variability and change requires data–model integration. Efficient data–model integration for complex models requires surrogate modeling to reduce model evaluation time. However, building a surrogate of a
D. Lu, D. Ricciuto
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Ensemble-Assisted Multi-Objective Optimization Algorithm Combining Feature Perturbation and Allocation Strategy [PDF]
Jisuanji gongcheng, 2022 A surrogate model can use its approximate prediction to replace the real evaluation of an algorithm when applied to the multi-objective optimization problem, which greatly reduces the number of real fitness evaluations required by the multi-objective ...
LIU Ziyi, WANG Yujia, SUN Fulu, JIA Xin, NIE Fangxin
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The Creation of Surrogate Models for Fast Estimation of Complex Model Outcomes. [PDF]
PLoS ONE, 2016 A surrogate model is a black box model that reproduces the output of another more complex model at a single time point. This is to be distinguished from the method of surrogate data, used in time series.
W Andrew Pruett, Robert L Hester
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Energy and AI, 2021 A data-driven surrogate model is proposed for a 64-cell air-cooled condenser system at a power plant. The surrogate model was developed using thermofluid simulation data from an existing detailed 1-D thermofluid network simulation model.
Rashid A. Haffejee, Ryno Laubscher
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Evaluation of POD based surrogate models of fields resulting from nonlinear FEM simulations
Advanced Modeling and Simulation in Engineering Sciences, 2021 Surrogate modelling is a powerful tool to replace computationally expensive nonlinear numerical simulations, with fast representations thereof, for inverse analysis, model-based control or optimization.
Boukje M. de Gooijer +3 more
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Physics-based surrogate model for reinforced concrete corrosion simulation
Results in Engineering, 2022 Computational models have been used in conjunction with field data, such as in reinforcement concrete corrosion monitoring. It typically involves evaluating the physical model of the corrosion process.
Syifaul Huzni +3 more
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Surrogate Leadership Model for Digital Organizational Systems [PDF]
Business Ethics and Leadership, 2020 The increase of investigations regarding digital systems for the social structure mapping leads to dynamizing previously rigidly recorded processes or deliberately ignored ones.
Olena Skrynnyk
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Response surface methodology using a prior knowledge and its application to pin fin heat sink design
Nihon Kikai Gakkai ronbunshu, 2019 Large number of simulations or experiments is needed for optimization and uncertainty quantification of a mechanical system. Therefore, if simulations or experiments are numerically expensive and time consuming, it is difficult to execute optimization ...
Kazuo MUTO, Makoto ONODERA
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Energies, 2022 Integrated optimization of well placement and hydraulic fracture parameters in naturally fractured shale gas reservoirs is of significance to enhance unconventional hydrocarbon energy resources in the oil and gas industry.
Jun Zhou +3 more
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