DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION
Author(s) -
Tong Qin,
Zhen Chen,
John Jakeman,
Dongbin Xiu
Publication year - 2020
Publication title -
international journal for uncertainty quantification
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 21
eISSN - 2152-5099
pISSN - 2152-5080
DOI - 10.1615/int.j.uncertaintyquantification.2020034123
Subject(s) - parameterized complexity , uncertainty quantification , computer science , residual , dynamical systems theory , artificial neural network , artificial intelligence , dynamical system (definition) , machine learning , deep learning , state space , algorithm , mathematics , mathematical optimization , statistics , physics , quantum mechanics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom