Open AccessDPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
Author(s) -
Jung-Eun Kim,
Kookjin Lee,
DongEun Lee,
Sheo Yon Jhin,
Noseong Park
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i9.16992
Subject(s) - extrapolation , benchmark (surveying) , artificial neural network , nonlinear system , computer science , partial differential equation , metric (unit) , norm (philosophy) , artificial intelligence , range (aeronautics) , baseline (sea) , machine learning , algorithm , mathematics , physics , mathematical analysis , oceanography , geology , operations management , materials science , geodesy , quantum mechanics , political science , law , economics , composite material , geography
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