Estimation of an improved surrogate model in uncertainty quantification by neural networks
type: Item
instance of: scholarly article
title: Estimation of an improved surrogate model in uncertainty quantification by neural networks
zbMATH Open document ID: 1469.62354
author: Benedict Götz
author: Sebastian Kersting
author: Michael Kohler
published in: Annals of the Institute of Statistical Mathematics
publication date: 2021-07-20T00:00:00Z
Mathematics Subject Classification ID: 62M45
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7372997
zbMATH Keywords: curse of dimensionality
zbMATH Keywords: density estimation
zbMATH Keywords: imperfect models
zbMATH Keywords: \(L_1\) error
zbMATH Keywords: neural networks
zbMATH Keywords: surrogate models
zbMATH Keywords: uncertainty quantification
MaRDI profile type: Publication
full work available at URL: s10463-020-00748-1
OpenAlex ID: W3007104492
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DOI: 10.1007/S10463-020-00748-1
description: scientific article; zbMATH DE number 7372997