Process Technology
高斯过程代理建模
Gaussian process surrogate modelingA statistical technique used to approximate complex, computationally expensive functions by learning from data. In this context, it is used to model the relationship between process parameters and techno-economic outcomes. / 一种统计技术，用于通过从数据中学习来近似复杂的、计算成本高昂的函数。在此背景下，它被用于建立过程参数与技术经济结果之间的关系。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-11 17:06:21
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Higher-order knowledge points
Main parameters and performance indicators
Gaussian process: A non-parametric Bayesian model defining the prior distribution over functionsSurrogate model: A computationally efficient approximation of the original expensive modelUncertainty propagation: The method of quantifying how uncertainties in inputs affect the outputs
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Related literature
ranked by community starsUncertainty propagation to techno-economic outcomes through Gaussian process surrogate modeling of fast pyrolysisOpen source
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1 recordsRecord title: Gaussian process surrogate modeling.
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