Extremization to fine tune physics informed neural networks for solving boundary value problems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Extremization to fine tune physics informed neural networks for solving boundary value problems

Published:2024-10 Issue: Volume:137 Page:108129
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Thiruthummal Abhiram Anand^ORCID,Shelyag Sergiy,Kim Eun-jin

Publisher

Elsevier BV

Reference50 articles.

1. Artificial neural networks for solving ordinary and partial differential equations;Lagaris;IEEE Trans Neural Netw,1998

2. Physics informed deep learning (Part I): Data-driven solutions of nonlinear partial differential equations;Raissi,2017

3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J Comput Phys,2019

4. Physics informed extreme learning machine (PIELM)–A rapid method for the numerical solution of partial differential equations;Dwivedi;Neurocomputing,2020

5. Extreme learning machine: Theory and applications;Huang;Neurocomputing,2006

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