2019-A deep learning framework for solving forward and ... nonlinear partial differential equations

時間 2020-12-24

標籤論文翻譯神經網絡算法简体版

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2019-Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations M.Raissia, P.Perdikarisb,∗, G.E.Karniadakis

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1. symmetry methods for differential equations,exercise 1.4
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1. symmetry methods for differential equations,exercise 1.4
2. Partial differential equations and the finite element method 3-FEA1.md
3. symmetry methods for differential equations,exercise1.1
4. Symmetry Methods for Differential Equations,Exercise 1.5
5. Numerical Optimization之Nonlinear Equations
6. Symmetry Methods for Differential Equations,A Beginner's Guide,Example 1.3
7. Chapter 2 - Neural Network and Deep Learning
8. 《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》筆記
9. 文獻閱讀 - Deep Residual Learning for Image Recognition
10. Deep Learning Models and Code for Pose Estimation

>>更多相關文章<<