Hydrology
物理引导元学习
Physics-guided meta-learningA machine learning approach that integrates physical laws or constraints into the meta-learning framework to improve model generalization and forecasting accuracy in data-scarce environments. / 一种将物理定律或约束整合到元学习框架中的机器学习方法，旨在提高数据稀缺环境下的模型泛化能力和预测精度。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-08 22:05:33
Sub-knowledge points
Runoff forecastingData-scarce basinsLoess Plateau
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
Feature-wise Linear Modulation (FiLM): A mechanism to modulate features based on physical parametersMeta-learning: Learning to learn from limited dataPhysics-guided: Incorporation of physical constraints into the model
Open problems
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Related literature
ranked by community starsImproving runoff forecasting in data-scarce basins on the Loess Plateau: a physics-guided meta-learning approach with feature-wise linear modulationOpen source
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Creation and modification trail
1 recordsRecord title: Physics-guided meta-learning.
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