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

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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

Numerical Heat Transfer, Part A: Applications 工程技术-力学

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.