TOuNN: Topology Optimization using Neural Networks
TOuNN: Topology Optimization using Neural Networks
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Neural networks, and more broadly, machine learning techniques, have been recently exploited to
accelerate
topology optimization through data-driven training and image processing. In this paper, we demonstrate that one can
directly execute
topology optimization (TO) using neural networks (NN). The primary concept is to use the NN’s acti...
Alternative Titles
Full title
TOuNN: Topology Optimization using Neural Networks
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2503197316
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2503197316
Other Identifiers
ISSN
1615-147X
E-ISSN
1615-1488
DOI
10.1007/s00158-020-02748-4