Optimization of a thin-walled element geometry using a system integrating neural networks and finite element method
Artificial neural networks [ANNs] are an effective method for predicting and classifying variables. This article presents the application of an integrated system based on artificial neural networks and calculations by the finite element method [FEM] for the optimization of geometry of a thin-walled...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2017-03-01
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| Series: | Archives of Metallurgy and Materials |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/amm.2017.62.issue-1/amm-2017-0067/amm-2017-0067.xml?format=INT |