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Process Technology

高斯过程代理建模

Gaussian process surrogate modeling

A 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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Sub-knowledge points

Hyperparameter Optimization / 数学理论Model trainingPrediction and confidence interval estimation

Higher-order knowledge points

Machine learning / 数学理论Bayesian inferenceTechno-economic analysis

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

Open problems

No unresolved problem recorded yet

Related literature

ranked by community stars
Uncertainty propagation to techno-economic outcomes through Gaussian process surrogate modeling of fast pyrolysisOpen source

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Creation and modification trail

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automated knowledge publish农场主2026-11-11 17:06:21

Record title: Gaussian process surrogate modeling.