Manipulating the loss calculation to enhance the training process of physics-informed neural networks to solve the 1D wave equation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
https://link.springer.com/content/pdf/10.1007/s00366-023-01881-0.pdf
Reference37 articles.
1. Raissi M, Perdikaris P, Karniadakis GE (2019) Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. J Comput Phys 378:686–707. https://doi.org/10.1016/j.jcp.2018.10.045
2. Cuomo S, Di Cola VS, Giampaolo F et al (2022) Scientific machine learning through physics-informed neural networks: where we are and what’s next. J Sci Comput. https://doi.org/10.1007/s10915-022-01939-z
3. Taufik MH, Ub W, Alkhalifah TA (2022) Upwind, no more: flexible traveltime solutions using physics-informed neural networks. IEEE Trans Geosci Remote Sensing 60:1–12. https://doi.org/10.1109/TGRS.2022.3218754
4. Waheed Ub, Alkhalifah T, Haghighat E et al. PINNtomo: Seismic tomography using physics-informed neural networks. https://doi.org/10.48550/arXiv.2104.01588
5. Vashisth D, Mukerji T (2022) Direct estimation of porosity from seismic data using rock- and wave-physics-informed neural networks. Lead Edge 41:840–846. https://doi.org/10.1190/tle41120840.1
Cited by 3 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. Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework;Sustainable Cities and Society;2024-08
2. Application of PINNs in PNJ Research;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21
3. Seismic Wavefields Modeling With Variable Horizontally Layered Velocity Models via Velocity-Encoded PINN;IEEE Transactions on Geoscience and Remote Sensing;2024
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