Computational Science
弱PDE-Net
Weak-PDE-NetA differentiable symbolic network framework for discovering open-form Partial Differential Equations (PDEs) using a weak formulation approach. / 一种基于可微符号网络的框架，通过弱形式方法发现开放形式的偏微分方程。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-13 17:05:47
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Main parameters and performance indicators
differentiable symbolic networks: core architectureweak formulation: numerical methodopen-form PDEs: target discovery
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Related literature
ranked by community starsWeak-PDE-Net: Discovering open-form PDEs via differentiable symbolic networks and weak formulationOpen source
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