applied mathematics
基于物理的损失缩放
Physics-Based Loss ScalingA numerical optimization technique applied to Physics-Informed Neural Networks (PINNs) to stabilize the training process by scaling the loss function components according to physical constraints. / 一种应用于物理信息神经网络（PINNs）的数值优化技术，通过根据物理约束缩放损失函数分量来稳定训练过程。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-09 17:06:15
Sub-knowledge points
MF-PINNsNeutron Diffusion EquationLoss Scaling
Higher-order knowledge points
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Main parameters and performance indicators
Loss Scaling Factor: Multiplier applied to the loss function to balance different termsNeutron Diffusion Equation: The specific physical governing equation being solved
Open problems
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Related literature
ranked by community starsOn Physics-Based Loss Scaling for MF-PINNs applied to the neutron diffusion equationOpen source
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1 recordsRecord title: Physics-Based Loss Scaling.
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