Date | 2021-12-21 |
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Speaker | 홍영준 |

Dept. | 성균관대 |

Room | 선택 |

Time | 17:00-18:00 |

줌: https://snu-ac-kr.zoom.us/j/4020312420

The Neural network-based approach to solving partial differential equations has attracted considerable attention due to its simplicity and flexibility to represent the solution of the partial differential equation. In particular, data-driven methods have been developed to learn dynamical systems and partial differential equations (PDE). In this talk, we propose a novel Legendre-Galerkin Deep Neural Network (LGNet) algorithm to predict solutions to various differential equations

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