为受电磁流体力学和热冲击的达西-福克海默粘性流体设计神经网络
3区 物理与天体物理
Q1 Engineering
引用次数: 0
摘要
本文通过基于监督学习的Artifi...本文章由计算机程序翻译，如有差异，请以英文原文为准。
Design of neural networks for Darcy–Forchheimer viscous fluid subjected to electro-magnetohydrodynamic and thermal impacts
In this article, the electro-hydrodynamic Darcy–Forchheimer viscous fluid model EHDF−VFM over an extending surface is observed by operating the algorithm based on supervised learning through Artifi...
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来源期刊
Waves in Random and Complex Media
物理-物理：综合
自引率
0.00%
发文量
677
审稿时长
3.0 months
期刊介绍：
Waves in Random and Complex Media (formerly Waves in Random Media ) is a broad, interdisciplinary journal that reports theoretical, applied and experimental research related to any wave phenomena.
The field of wave phenomena is all-pervading, fast-moving and exciting; more and more, researchers are looking for a journal which addresses the understanding of wave-matter interactions in increasingly complex natural and engineered media. With its foundations in the scattering and propagation community, Waves in Random and Complex Media is becoming a key forum for research in both established fields such as imaging through turbulence, as well as emerging fields such as metamaterials.
The Journal is of interest to scientists and engineers working in the field of wave propagation, scattering and imaging in random or complex media. Papers on theoretical developments, experimental results and analytical/numerical studies are considered for publication, as are deterministic problems when also linked to random or complex media. Papers are expected to report original work, and must be comprehensible and of general interest to the broad community working with wave phenomena.
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