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误差估计和基于物理的增强神经网络,用于热合不可压缩的纳维埃·斯托克斯方程

Shoaib Goraya1, Nahil Sobh2, Arif Masud1

  • 1Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA.

Computational mechanics
|August 16, 2023
PubMed
概括

物理信息神经网络 (PINNs) 为解决部分微分方程 (PDEs) 提供了一个有前途的方法. 本研究提供了PINNs应用于复杂的流体动力学问题的趋同分析和误差估计,提高了它们的可靠性.

关键词:
收 收 收 收 收 收错误估计错误的估计.机器学习 机器学习纳维尔和斯托克斯的方程.神经网络的神经网络的神经网络这就是PINNs.根据物理知识的增强.热合流量 热合流量

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