| Title: | Compressor cascade total pressure loss correlation modelling at design points using artificial neural networks |
| Authors: | Kovář, P. Fürst, J. |
| Citation: | Computational mechanics 2022: book of extended abstracts: 37th conference with international participation, p. 50-53. |
| Issue Date: | 2022 |
| Publisher: | Západočeská univerzita v Plzni |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/50370 https://www.kme.zcu.cz/compmech/download/proceedings/CM2022_Conference_Proceedings.pdf |
| Keywords: | umělé neuronové sítě;výpočetní dynamika tekutin;NACA 65;kompresor |
| Keywords in different language: | artificial neural networks;computational fluid dynamics;NACA 65;compressor |
| Rights: | © 2021 University of West Bohemia, Plzeň, Czech Republic |
| Appears in Collections: | Computational mechanics 2022 Computational mechanics 2022 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CM2022_Conference_Proceedings-uvod.pdf | Plný text | 327,36 kB | Adobe PDF | View/Open |
| 49_CM_Kovar_Patrik.pdf | Plný text | 1,05 MB | Adobe PDF | View/Open |
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