Preliminary design of a complex system often involves exploring a broad design space. This may require repeated use of computationally expensive simulations. To ease the computational burden, surrogate models are built to provide rapid approximations of more expensive models. However, the surrogate models themselves are often expensive to build because they are based on repeated experiments with computationally expensive simulations. An alternative approach is to replace the detailed simulations with simplified approximate simulations, thereby sacrificing accuracy for reduced computational time. Naturally, surrogate models built from these approximate simulations are also imprecise. A strategy is needed for improving the precision of surrog...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. T...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. T...
1noSurrogate modelling refers to statistical and numerical techniques to model the relationship betw...
In most science and engineering fields, numerical simulation models are often used to replicate phys...
The computational demands of virtual experiments for modern product development processes can get ou...
Approximation methods have found an increasing use in the optimization of complex engineering system...
International audienceTasks such as analysis, design optimization, and uncertainty quantification ca...
International audienceTasks such as analysis, design optimization, and uncertainty quantification ca...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
A typical approach in surrogate-based modeling is to assess the performance of alternative surrogate...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76133/1/AIAA-2006-7047-645.pd
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. T...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. T...
1noSurrogate modelling refers to statistical and numerical techniques to model the relationship betw...
In most science and engineering fields, numerical simulation models are often used to replicate phys...
The computational demands of virtual experiments for modern product development processes can get ou...
Approximation methods have found an increasing use in the optimization of complex engineering system...
International audienceTasks such as analysis, design optimization, and uncertainty quantification ca...
International audienceTasks such as analysis, design optimization, and uncertainty quantification ca...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
A typical approach in surrogate-based modeling is to assess the performance of alternative surrogate...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76133/1/AIAA-2006-7047-645.pd
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Using surrogate approximations (e.g. Kriging interpolation or artifical neural networks) is an estab...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...