Data for uncertainty quantification via adaptive ANN

The Monte Carlo method (MCM) is known as the gold standard technique for uncertainty quantification (UQ). However, it requires a considerable number of simulations leading to excessive computational resources.

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[1] , "Data for uncertainty quantification via adaptive ANN", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/hhnh-s530. Accessed: Jun. 20, 2019.
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doi = {10.21227/hhnh-s530},
url = {http://dx.doi.org/10.21227/hhnh-s530},
author = { },
publisher = {IEEE Dataport},
title = {Data for uncertainty quantification via adaptive ANN},
year = {2019} }
TY - DATA
T1 - Data for uncertainty quantification via adaptive ANN
AU -
PY - 2019
PB - IEEE Dataport
UR - 10.21227/hhnh-s530
ER -
. (2019). Data for uncertainty quantification via adaptive ANN. IEEE Dataport. http://dx.doi.org/10.21227/hhnh-s530
, 2019. Data for uncertainty quantification via adaptive ANN. Available at: http://dx.doi.org/10.21227/hhnh-s530.
. (2019). "Data for uncertainty quantification via adaptive ANN." Web.
1. . Data for uncertainty quantification via adaptive ANN [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/hhnh-s530
. "Data for uncertainty quantification via adaptive ANN." doi: 10.21227/hhnh-s530