优化纳米粘滞流体流动的电磁-流体动力影响的神经-逻辑计算智能方法

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Intelligent Systems Pub Date : 2023-12-16 DOI:10.1155/2023/7626478
Zeeshan Ikram Butt, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, Syed Ibrar Hussain, Muhammad Shoaib, Hira Ilyas
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引用次数: 0

摘要

在这项调查研究中,通过结合遗传算法(GA)和最高效的局部搜索求解器 SQP(顺序二次编程)之一,即 NHA-GA-SQP,使用神经启发式方法(NHA)设计了一个人工神经网络(ANN)范例,从而仔细研究了电磁流体动力学(EMHD)对纳米粘性流体模型的影响。所提问题的流体流动最初以 PDE 的形式解释,然后利用这些 PDE 的适当相似性转换,得到刚性非线性 ODE 系统。通过 NHA-GA-SQP 求解器,根据物理存在的参数变化计算所建议流体模型的数值结果,以检测流体流动过程中的速度、热梯度和浓度变化。本文详细分析了通过 NHA-GA-SQP 算法获得的结果,并将其与通过亚当斯方法估算的参考结果进行了比较。本次检查还涉及通过各种统计算子计算拟议求解器的准确性、稳定性和一致性。
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Neuro-Heuristic Computational Intelligence Approach for Optimization of Electro-Magneto-Hydrodynamic Influence on a Nano Viscous Fluid Flow
In this investigative study, the electro-magneto hydrodynamic (EMHD) influence on a nano viscous fluid model is scrutinized by designing an artificial neural network (ANN) paradigm using a neuro-heuristic approach (NHA) through the combination of GAs (genetic algorithms) and one of the most efficient locally searching solver SQP (sequential quadratic programming), i.e., NHA-GA-SQP. The fluid flow for the proposed problem is initially interpreted in the form of PDEs and then utilization of suitable similarity transformation on these PDEs yields in terms of a stiff nonlinear system of ODEs. The numerical results of the suggested fluidic model based on the variation of its physically existing parameters are calculated through the NHA-GA-SQP solver to detect the variation in velocity, thermal gradient, and concentration during the fluid flow. A detailed analysis of obtained outcomes through the NHA-GA-SQP algorithm and their comparison with the reference results estimated via the Adams method are presented. The calculation of the proposed solver’s accuracy, stability, and consistency through various statistical operators is also involved in the current inspection.
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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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