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36 2021 HP VPINN by 22bph016 is a document available to read on EtoBox.
What is 36 2021 HP VPINN about?
The document introduces hp-Variational Physics-Informed Neural Networks (hp-VPINNs), a framework that combines neural networks with domain decomposition for solving differential equations. It emphasizes the use of a global neural network approximation alongside localized learning algorithms to enhance accuracy and reduce training costs. The paper discusses various numerical methods, the formulation of the hp-VPINNs, and demonstrates its advantages through several numerical examples.
- Author
- 22bph016
- Language
- EN