Results 31 to 40 of about 59,334 (307)
A Surrogate Modeling Approach for Frequency Reconfigurable Antennas
, 2023 A novel generalizable surrogate modeling approach is specifically developed for frequency reconfigurable antennas. The generalizable modeling processes is based on the rigorous mathematical derivation, including the solution of a non-linear ...
Yijing He +7 more
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IEEE AccessThe machine learning method for surrogate modeling is a keystone in surrogate model-assisted evolutionary algorithms (SAEAs). The current arguably most widely used surrogate modeling methods in SAEAs are Gaussian process and radial basis function.
Yushi Liu +3 more
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, 2015 Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential ...
Toal, David J.J.
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Deep Graph Learning-Based Surrogate Model for Inverse Modeling of Fractured Reservoirs
MathematicsInverse modeling can estimate uncertain parameters in subsurface reservoirs and provide reliable numerical models for reservoir development and management. The traditional simulation-based inversion method usually requires numerous numerical simulations,
Xiaopeng Ma +4 more
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Optimal Design of Droplet Ejection for PZT Printhead Based on Surrogate Model
Applied Sciences, 2022 Droplet ejection technology is widely used in green and intelligent manufacturing. A stable jetting can be defined as no obvious satellite droplets during the whole ejection process, which is of great importance to ensure the quality and efficiency of ...
Ting Lei, Hong Liu, Cong Ma, Jiang Han
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A surrogate FRAX model for Nepal [PDF]
Archives of OsteoporosisAbstract Summary A surrogate FRAX® model for Nepal has been constructed using age- and sex-specific hip fracture rates for Indians living in Singapore and age- and sex-specific mortality rates from Nepal. Introduction FRAX
Johansson, H. +5 more
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Surrogate Modeling of Ultrasonic Nondestructive Evaluation Simulations
, 2016 Ultrasonic testing (UT) is used to detect internal flaws in materials or to characterize material properties. Computational simulations are an important part of the UT process. Fast models are essential for UT applications such as inverse design or model-
Bekasiewicz, Adrian +4 more
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Pulsar Signal Adaptive Surrogate Modeling
AerospaceAs the number of spacecraft heading beyond Earth’s orbit increased in recent years, autonomous navigation solutions have become increasingly important. One such solution is pulsar-based navigation.
Tomáš Kašpárek, Peter Chudý
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A novel adaptive-weight ensemble surrogate model base on distance and mixture error.
PLoS ONE, 2023 Surrogate models are commonly used as a substitute for the computation-intensive simulations in design optimization. However, building a high-accuracy surrogate model with limited samples remains a challenging task. In this paper, a novel adaptive-weight
Jun Lu, Yudong Fang, Weijian Han
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A PINN Surrogate Modeling Methodology for Steady-State Integrated Thermofluid Systems Modeling
Mathematical and Computational Applications, 2023 Physics-informed neural networks (PINNs) were developed to overcome the limitations associated with the acquisition of large training data sets that are commonly encountered when using purely data-driven machine learning methods.
Kristina Laugksch +2 more
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