Efficient global optimization (EGO) uses the surrogate uncertainty estimator called expected improvement (EI) to guide the selection of the next sampling candidates. Theoretically, any modelling metho

Figshare2016-05-24 更新40

Samples for article "A Charged Particle-Inspired Sampling Scheme for Improved Surrogate Model Quality"

代理模型优化

采样算法设计

Samples used for the investigation of the article "A Charged Particle-Inspired Sampling Scheme for Improved Surrogate Model Quality".

Mendeley Data40

Datasets associated with the git repo: https://github.com/maikeh7/Surrogate_Assisted_GLM

代理模型优化

广义线性模型拟合

These datasets are necessary for carrying out analyses in https://github.com/maikeh7/Surrogate_Assisted_GLM

Zenodo2024-08-22 更新10

Samples for article "A Charged Particle-Inspired Sampling Scheme for Improved Surrogate Model Quality"

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相关数据集