Machine learning methods as applied to modelling thermal conductivity of epoxy-based composites with different fillers for aircraft
The thermal conductivity coefficient of epoxy composites for aircraft, which are reinforced with glass fiber and filled with aerosil, γ-aminopropylaerosil, aluminum oxide, chromium oxide, respectively, was simulated. To this end, various machine learning methods were used, in particular, neural net...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2024-05-01
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| Series: | Aviation |
| Subjects: | |
| Online Access: | https://journals.vilniustech.lt/index.php/Aviation/article/view/21472 |