利用 Levengberg-Marquardt 反向传播人工神经网络的磁流体力学切线双曲面纳米流体流过垂直拉伸表面

IF 2.8 4区 工程技术 Q2 MECHANICS Numerical Heat Transfer, Part A: Applications Pub Date : 2024-05-10 DOI:10.1080/10407782.2024.2348121
Bilal Ali, Shengjun Liu, Hong Juan Liu, Md Irfanul Haque Siddiqui
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引用次数: 0

摘要

该分析采用 Levenberg-Marquardt 反向传播人工神经网络(LM-BP-ANNs)方法,展示了神经网络模拟 MHD Ta...的数学策略。
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Magnetohydrodynamics tangent hyperbolic nanofluid flow across a vertical stretching surface using Levengberg-Marquardt back propagation artificial neural networks
This analysis uses the Levenberg-Marquardt back propagation artificial neural networks (LM-BP-ANNs) approach to demonstrate the mathematical strategy of neural networks for the simulation of MHD Ta...
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来源期刊
CiteScore
3.60
自引率
10.00%
发文量
127
审稿时长
3.8 months
期刊介绍: Published 24 times per year, Numerical Heat Transfer, Part A: Applications covers numerically-based, results-oriented papers highlighting problems in heat transfer, mass transfer, and fluid flow. Underlying numerical solutions may be based either on available methodologies or on adaptations of moderate extensions of available methods. Experimental results which support the numerical solutions are also acceptable.
期刊最新文献
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