Results 41 to 50 of about 461,664 (195)
Hierarchical surrogate modeling for illumination algorithms [PDF]
Evolutionary illumination is a recent technique that allows producing many diverse, optimal solutions in a map of manually defined features. To support the large amount of objective function evaluations, surrogate model assistance was recently introduced.
openaire +2 more sources
Making global sensitivity analysis feasible using neural network surrogates
How can we make global sensitivity analysis accessible and viable for engineering practice? In this translation article, we present a methodology to enable sensitivity analysis for structural and geotechnical engineering for built environment design and ...
Gihan Weerasinghe +2 more
doaj +1 more source
Computational models of electrochemical biodegradation of magnesium (Mg)‐based implants are uncertain. To quantify the model uncertainty, iterative evaluations are needed.
Tamadur AlBaraghtheh +2 more
doaj +1 more source
Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems
Traditional experimental design methods often face challenges in handling complex aerospace systems due to the high dimensionality and nonlinear behavior of such systems, resulting in nonoptimal experimental designs.
Tim Gerling +3 more
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The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry.
Alessandro Bertoni +3 more
doaj +1 more source
Mining gold from implicit models to improve likelihood-free inference [PDF]
Simulators often provide the best description of real-world phenomena. However, they also lead to challenging inverse problems because the density they implicitly define is often intractable.
Brehmer, Johann +3 more
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Evaluation of Surrogate Animal Models of Melioidosis [PDF]
Burkholderia pseudomallei is the Gram-negative bacterial pathogen responsible for the disease melioidosis. B. pseudomallei establishes disease in susceptible individuals through multiple routes of infection, all of which may proceed to a septicemic disease associated with a high mortality rate. B.
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Scalable Transformer for PDE Surrogate Modeling
Transformer has shown state-of-the-art performance on various applications and has recently emerged as a promising tool for surrogate modeling of partial differential equations (PDEs). Despite the introduction of linear-complexity attention, applying Transformer to problems with a large number of grid points can be numerically unstable and ...
Zijie Li, Dule Shu, Amir Barati Farimani
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MATSuMoTo: The MATLAB Surrogate Model Toolbox For Computationally Expensive Black-Box Global Optimization Problems [PDF]
MATSuMoTo is the MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have continuous, mixed-integer, or pure integer variables.
Mueller, Juliane
core
Linear and nonlinear time series analysis of the black hole candidate Cygnus X-1
We analyze the variability in the X-ray lightcurves of the black hole candidate Cygnus X-1 by linear and nonlinear time series analysis methods. While a linear model describes the over-all second order properties of the observed data well, surrogate data
Belloni, T. +7 more
core +2 more sources

