TOuNN: Topology Optimization using Neural Networks

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 p...

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Vydané v:	Structural and multidisciplinary optimization Ročník 63; číslo 3; s. 1135 - 1149
Hlavní autori:	Chandrasekhar, Aaditya, Suresh, Krishnan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Predmet:	Computational Mathematics and Numerical Analysis Density Design optimization Engineering Engineering Design Image processing Isotropic material Machine learning Neural networks Optimization Research Paper Theoretical and Applied Mechanics Topology optimization Topology optimization Neural networks Machine learning
ISSN:	1615-147X, 1615-1488
On-line prístup:	Získať plný text
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