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Learning PDEs/SPDEs via neural networks based on regularity structure

发布日期:2024-12-17点击数:

报告人:陈炳光 讲师(福建师范大学)

时间:2024年12月20日 10:00-

地点:数统学院LD402


摘要:Artificial intelligence has brought technological innovation to various fields and achieved remarkable results, especially in modeling dynamic systems. In this talk, basic knowledge about deep learning will be presented.  We propose neural operator networks based on regularity structure theory to model PDEs/SPDEs. The key step of our network structure is to project the stochastic noise and initial values to the model feature vectors. The experimental results show that our networks significantly improve the accuracy of solutions and speed up inference time. Based on joint work with Qi Meng, Shiqi Gong, Peiyan Hu, etc.


邀请人:杨寰宇


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亚洲无码av 的前身是始建于1929年的亚洲无码av 理学院和1937年建立的亚洲无码av 商学院,理学院是亚洲无码av 最早设立的三个学院之一,首任院长为数学家何鲁先生。