BC-PINN: an adaptive physics informed neural network based on biased multiobjective coevolutionary algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

BC-PINN: an adaptive physics informed neural network based on biased multiobjective coevolutionary algorithm

Published:2023-08-02 Issue:28 Volume:35 Page:21093-21113
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhu Zhicheng,Hao Jia,Huang Jin,Huang Biao

Funder

National Key R&D Program of China

Dream Project of Ministry of Science and Technology of the People's Republic of China

National Ministry Project of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08876-4.pdf

Reference69 articles.

1. Strang G, Fix GJ, Griffin DS (1974) An analysis of the finite-element method. J Appl Mech 41:115–126

2. Ramakrishnan S, Collis SS (2004) Turbulence control simulation using the variational multiscale method. AIAA J 42:745–753

3. Glatzel T, Litterst C, Cupelli C, Lindemann T, Moosmann C, Niekrawietz R, Streule W, Zengerle R, Koltay P (2008) Computational fluid dynamics (CFD) software tools for microfluidic applications—a case study. Comput Fluids 37(3):218–235

4. Farmer R, Pike R, Cheng G (2005) CFD analyses of complex flows. Comput Chem Eng 29:2386–2403

5. Jeong W, Seong J (2014) Comparison of effects on technical variances of computational fluid dynamics (CFD) software based on finite element and finite volume methods. Int J Mech Sci 78:19–26

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PGNM: Using Physics-Informed Gated Recurrent Units Network Method to capture the dynamic data feature propagation process of PDEs;Chaos, Solitons & Fractals;2024-08

2. Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics;Neural Computing and Applications;2024-06-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3