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Updated: Jun 10, 2025

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深度模糊物理信息的神经网络用于前向和反向PDE问题

Wenyuan Wu1, Siyuan Duan1, Yuan Sun1

  • 1College of Computer Science, Sichuan University, Chengdu, 610065, China.

Neural networks : the official journal of the International Neural Network Society
|October 20, 2024
PubMed
概括

深度模糊物理信息的神经网络 (FPINNs) 在解决部分微分方程 (PDEs) 中处理不可靠的数据. 这种新的方法将模糊逻辑与神经网络集成在一起,以准确地建模物理场,优于现有方法.

关键词:
自动差异化自动差异化一个模糊的神经网络.部分微分方程部分微分方程.基于物理知识的学习.

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