Results 241 to 250 of about 11,879,570 (313)
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Technometrics, 1972
Abstract : The paper investigates the problem of choosing between two simple hypothesis, H sub o and H sub l, in terms of independent, identically distributed random variables, when observations can be taken in groups. At any stage in the decision procedure it must be decided whether to stop or take action now or to continue, in which case the size of ...
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Abstract : The paper investigates the problem of choosing between two simple hypothesis, H sub o and H sub l, in terms of independent, identically distributed random variables, when observations can be taken in groups. At any stage in the decision procedure it must be decided whether to stop or take action now or to continue, in which case the size of ...
exaly +4 more sources
Variance-based adaptive sequential sampling for Polynomial Chaos Expansion
Computer Methods in Applied Mechanics and Engineering, 2021Lukas Novak +2 more
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Applied Mathematical Modelling, 2021
In this paper, according to the Kriging based reliability analysis method, an efficient sequential sampling method combined with radial basis function is proposed to reduce the modeling complexity of the surrogate model and eliminate the uncertainties of
Linxiong Hong, Kai Peng
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In this paper, according to the Kriging based reliability analysis method, an efficient sequential sampling method combined with radial basis function is proposed to reduce the modeling complexity of the surrogate model and eliminate the uncertainties of
Linxiong Hong, Kai Peng
exaly +2 more sources
Journal of Mechanical Design, Transactions of the ASME, 2022
Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy.
Yuansheng Cheng, Zhen Hu
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Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy.
Yuansheng Cheng, Zhen Hu
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A new sequential sampling method for surrogate modeling based on a hybrid metric
Journal of Mechanical Design, 2023Sequential sampling methods have gained significant attention due to their ability to iteratively construct surrogate models by sequentially inserting new samples based on existing ones. However, efficiently and accurately creating surrogate models for
Weifei Hu +6 more
semanticscholar +1 more source
A new framework for efficient sequential sampling-based RBDO using space mapping
Journal of Mechanical Design, 2022In engineering applications of sampling-based reliability-based design optimization (RBDO), the Monte Carlo simulation (MCS) using a surrogate model of the performance function is mainly used for probability of failure calculation and sensitivity ...
J. Park, Ikjin Lee
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A new sequential sampling method of surrogate models for design and optimization of dynamic systems
, 2021When solving combined plant and control optimization (co-design) problems of actual dynamic systems, the models with computationally expensive states derivative functions will often be encountered.
Ping Qiao +3 more
semanticscholar +1 more source
Parallelization of Sequential Pattern Sampling
2021 IEEE International Conference on Big Data (Big Data), 2021In the last years, the field of data mining has undergone extensive work on patterns discovery by sampling techniques. Recently, these sampling methods have been applied to sequential data that are complex in nature. The complexity of these data lies in their structure, which has a notable impact on the speed of the computation which is time consuming ...
Diop, Lamine, Ba, Cheikh
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